--- dataset_info: - config_name: AQMAR_ara features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 384548 num_examples: 605 - name: dev num_bytes: 408689 num_examples: 710 - name: train num_bytes: 759874 num_examples: 1328 download_size: 368894 dataset_size: 1553111 - config_name: AnCora_cat features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 807745 num_examples: 1527 - name: dev num_bytes: 785412 num_examples: 1428 - name: train num_bytes: 5763478 num_examples: 10629 download_size: 1349704 dataset_size: 7356635 - config_name: AnCora_spa features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 1600060 num_examples: 2983 - name: dev num_bytes: 1587778 num_examples: 2992 - name: train num_bytes: 6137740 num_examples: 11374 download_size: 1834577 dataset_size: 9325578 - config_name: ArmanPersoNER_fas features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 1666949 num_examples: 2560 - name: train num_bytes: 3403058 num_examples: 5121 download_size: 772490 dataset_size: 5070007 - config_name: BarNER_bar features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 117828 num_examples: 370 - name: dev num_bytes: 129462 num_examples: 338 - name: train num_bytes: 1059731 num_examples: 2869 download_size: 366944 dataset_size: 1307021 - config_name: CONLL02_nld features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 1238152 num_examples: 5195 - name: dev num_bytes: 682292 num_examples: 2895 - name: train num_bytes: 3619826 num_examples: 15806 download_size: 1231385 dataset_size: 5540270 - config_name: CONLL02_spa features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 876894 num_examples: 1517 - name: dev num_bytes: 903810 num_examples: 1915 - name: train num_bytes: 4522231 num_examples: 8323 download_size: 1207953 dataset_size: 6302935 - config_name: DaNE_dan features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 175077 num_examples: 565 - name: dev num_bytes: 180107 num_examples: 564 - name: train num_bytes: 1398992 num_examples: 4383 download_size: 447350 dataset_size: 1754176 - config_name: EIEC_eus features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 282921 num_examples: 842 - name: train num_bytes: 827224 num_examples: 2552 download_size: 295454 dataset_size: 1110145 - config_name: EverestNER_nep features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 1000991 num_examples: 1950 - name: train num_bytes: 6773063 num_examples: 13848 download_size: 1086056 dataset_size: 7774054 - config_name: GermEval_deu features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 1764599 num_examples: 5100 - name: dev num_bytes: 760209 num_examples: 2200 - name: train num_bytes: 8284200 num_examples: 24000 download_size: 2676606 dataset_size: 10809008 - config_name: HiNER_hin features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 10874053 num_examples: 21657 - name: dev num_bytes: 5437357 num_examples: 10851 - name: train num_bytes: 37974201 num_examples: 75827 download_size: 7741056 dataset_size: 54285611 - config_name: Japanese_GSD_jap features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 227350 num_examples: 543 - name: dev num_bytes: 213978 num_examples: 507 - name: train num_bytes: 2935152 num_examples: 7050 download_size: 693906 dataset_size: 3376480 - config_name: KIND_ita features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 3316895 num_examples: 7385 - name: train num_bytes: 14918073 num_examples: 37765 download_size: 3074690 dataset_size: 18234968 - config_name: KazNERD_kaz features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 3135550 num_examples: 11307 - name: dev num_bytes: 3117226 num_examples: 11167 - name: train num_bytes: 25167644 num_examples: 90228 download_size: 7015692 dataset_size: 31420420 - config_name: L3Cube_MahaNER_mar features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 583679 num_examples: 1998 - name: dev num_bytes: 434048 num_examples: 1499 - name: train num_bytes: 6203077 num_examples: 21493 download_size: 1308188 dataset_size: 7220804 - config_name: MasakhaNER_2_bam features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 546090 num_examples: 1274 - name: dev num_bytes: 281169 num_examples: 638 - name: train num_bytes: 1821834 num_examples: 4462 download_size: 484166 dataset_size: 2649093 - config_name: MasakhaNER_2_bbj features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 274721 num_examples: 966 - name: dev num_bytes: 134594 num_examples: 483 - name: train num_bytes: 873032 num_examples: 3384 download_size: 292575 dataset_size: 1282347 - config_name: MasakhaNER_2_ewe features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 350393 num_examples: 1001 - name: dev num_bytes: 161577 num_examples: 501 - name: train num_bytes: 1043165 num_examples: 3505 download_size: 339682 dataset_size: 1555135 - config_name: MasakhaNER_2_fon features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 618293 num_examples: 1228 - name: dev num_bytes: 296416 num_examples: 623 - name: train num_bytes: 2025473 num_examples: 4343 download_size: 476812 dataset_size: 2940182 - config_name: MasakhaNER_2_hau features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 751113 num_examples: 1633 - name: dev num_bytes: 359846 num_examples: 816 - name: train num_bytes: 2583336 num_examples: 5716 download_size: 628093 dataset_size: 3694295 - config_name: MasakhaNER_2_ibo features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 1239551 num_examples: 2181 - name: dev num_bytes: 574328 num_examples: 1090 - name: train num_bytes: 4088172 num_examples: 7634 download_size: 952497 dataset_size: 5902051 - config_name: MasakhaNER_2_kin features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 950041 num_examples: 2235 - name: dev num_bytes: 405057 num_examples: 1118 - name: train num_bytes: 3122455 num_examples: 7825 download_size: 973348 dataset_size: 4477553 - config_name: MasakhaNER_2_lug features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 425273 num_examples: 1412 - name: dev num_bytes: 219080 num_examples: 706 - name: train num_bytes: 1623112 num_examples: 4942 download_size: 554841 dataset_size: 2267465 - config_name: MasakhaNER_2_luo features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 732368 num_examples: 1474 - name: dev num_bytes: 371171 num_examples: 737 - name: train num_bytes: 2708101 num_examples: 5161 download_size: 683656 dataset_size: 3811640 - config_name: MasakhaNER_2_mos features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 460208 num_examples: 1294 - name: dev num_bytes: 273506 num_examples: 648 - name: train num_bytes: 2044916 num_examples: 4532 download_size: 501497 dataset_size: 2778630 - config_name: MasakhaNER_2_nya features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 943510 num_examples: 1785 - name: dev num_bytes: 465907 num_examples: 893 - name: train num_bytes: 3401691 num_examples: 6250 download_size: 1017514 dataset_size: 4811108 - config_name: MasakhaNER_2_pcm features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 694340 num_examples: 1613 - name: dev num_bytes: 363694 num_examples: 806 - name: train num_bytes: 2385032 num_examples: 5646 download_size: 647210 dataset_size: 3443066 - config_name: MasakhaNER_2_sna features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 739047 num_examples: 1773 - name: dev num_bytes: 386240 num_examples: 887 - name: train num_bytes: 2639340 num_examples: 6207 download_size: 840805 dataset_size: 3764627 - config_name: MasakhaNER_2_swa features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 904324 num_examples: 1883 - name: dev num_bytes: 446205 num_examples: 942 - name: train num_bytes: 3103062 num_examples: 6593 download_size: 839133 dataset_size: 4453591 - config_name: MasakhaNER_2_tsn features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 447215 num_examples: 996 - name: dev num_bytes: 239148 num_examples: 499 - name: train num_bytes: 1657835 num_examples: 3489 download_size: 429482 dataset_size: 2344198 - config_name: MasakhaNER_2_twi features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 482985 num_examples: 1211 - name: dev num_bytes: 247219 num_examples: 605 - name: train num_bytes: 1878216 num_examples: 4240 download_size: 499070 dataset_size: 2608420 - config_name: MasakhaNER_2_wol features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 620486 num_examples: 1312 - name: dev num_bytes: 319009 num_examples: 656 - name: train num_bytes: 2015882 num_examples: 4593 download_size: 535660 dataset_size: 2955377 - config_name: MasakhaNER_2_xho features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 510048 num_examples: 1633 - name: dev num_bytes: 273426 num_examples: 817 - name: train num_bytes: 1680264 num_examples: 5718 download_size: 698845 dataset_size: 2463738 - config_name: MasakhaNER_2_yor features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 870148 num_examples: 1964 - name: dev num_bytes: 432625 num_examples: 983 - name: train num_bytes: 3361955 num_examples: 6876 download_size: 759506 dataset_size: 4664728 - config_name: MasakhaNER_2_zul features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 509863 num_examples: 1670 - name: dev num_bytes: 254964 num_examples: 836 - name: train num_bytes: 1739409 num_examples: 5848 download_size: 717111 dataset_size: 2504236 - config_name: MasakhaNER_amh features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 184865 num_examples: 500 - name: dev num_bytes: 93097 num_examples: 250 - name: train num_bytes: 641005 num_examples: 1750 download_size: 266062 dataset_size: 918967 - config_name: MasakhaNER_hau features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 283505 num_examples: 545 - name: dev num_bytes: 139809 num_examples: 272 - name: train num_bytes: 930798 num_examples: 1903 download_size: 266337 dataset_size: 1354112 - config_name: MasakhaNER_ibo features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 222924 num_examples: 638 - name: dev num_bytes: 110970 num_examples: 319 - name: train num_bytes: 750258 num_examples: 2233 download_size: 228543 dataset_size: 1084152 - config_name: MasakhaNER_kin features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 259321 num_examples: 604 - name: dev num_bytes: 121378 num_examples: 301 - name: train num_bytes: 879744 num_examples: 2110 download_size: 312716 dataset_size: 1260443 - config_name: MasakhaNER_lug features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 183468 num_examples: 401 - name: dev num_bytes: 70352 num_examples: 200 - name: train num_bytes: 612595 num_examples: 1402 download_size: 267825 dataset_size: 866415 - config_name: MasakhaNER_luo features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 87980 num_examples: 185 - name: dev num_bytes: 43684 num_examples: 92 - name: train num_bytes: 315733 num_examples: 644 download_size: 111722 dataset_size: 447397 - config_name: MasakhaNER_pcm features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 262879 num_examples: 600 - name: dev num_bytes: 127133 num_examples: 300 - name: train num_bytes: 868939 num_examples: 2100 download_size: 258863 dataset_size: 1258951 - config_name: MasakhaNER_swa features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 272774 num_examples: 602 - name: dev num_bytes: 128972 num_examples: 300 - name: train num_bytes: 1002134 num_examples: 2104 download_size: 312922 dataset_size: 1403880 - config_name: MasakhaNER_wol features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 192069 num_examples: 536 - name: dev num_bytes: 71911 num_examples: 267 - name: train num_bytes: 603170 num_examples: 1871 download_size: 188761 dataset_size: 867150 - config_name: MasakhaNER_yor features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 359666 num_examples: 608 - name: dev num_bytes: 127782 num_examples: 303 - name: train num_bytes: 1017083 num_examples: 2124 download_size: 280513 dataset_size: 1504531 - config_name: NEMO_SPMRL_heb features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 260129 num_examples: 706 - name: dev num_bytes: 177682 num_examples: 500 - name: train num_bytes: 1937106 num_examples: 4937 download_size: 560362 dataset_size: 2374917 - config_name: NEMO_UD_heb features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 183563 num_examples: 491 - name: dev num_bytes: 174052 num_examples: 484 - name: train num_bytes: 2017306 num_examples: 5168 download_size: 554654 dataset_size: 2374921 - config_name: NorNE_nno features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 437579 num_examples: 1511 - name: dev num_bytes: 547250 num_examples: 1890 - name: train num_bytes: 4309009 num_examples: 14174 download_size: 1107682 dataset_size: 5293838 - config_name: NorNE_nob features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 528550 num_examples: 1939 - name: dev num_bytes: 642919 num_examples: 2410 - name: train num_bytes: 4297168 num_examples: 15696 download_size: 1162091 dataset_size: 5468637 - config_name: RONEC_ron features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 1529269 num_examples: 2000 - name: train num_bytes: 6992254 num_examples: 9000 download_size: 1857730 dataset_size: 8521523 - config_name: SLI_Galician_Corpora_glg features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 713781 num_examples: 1655 - name: train num_bytes: 2822966 num_examples: 6483 download_size: 667988 dataset_size: 3536747 - config_name: ThaiNNER_tha features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 7350839 num_examples: 980 - name: train num_bytes: 29762873 num_examples: 3914 download_size: 3873794 dataset_size: 37113712 - config_name: TurkuNLP_fin features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 417762 num_examples: 1555 - name: dev num_bytes: 365317 num_examples: 1364 - name: train num_bytes: 3256260 num_examples: 12217 download_size: 1141279 dataset_size: 4039339 - config_name: Tweebank_eng features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 327420 num_examples: 1201 - name: dev num_bytes: 200463 num_examples: 710 - name: train num_bytes: 425740 num_examples: 1639 download_size: 293372 dataset_size: 953623 - config_name: UNER_Chinese_GSDSIMP_cmn features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 206398 num_examples: 500 - name: dev num_bytes: 216905 num_examples: 500 - name: train num_bytes: 1689195 num_examples: 3997 download_size: 487293 dataset_size: 2112498 - config_name: UNER_Chinese_GSD_cmn features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 206398 num_examples: 500 - name: dev num_bytes: 216901 num_examples: 500 - name: train num_bytes: 1689191 num_examples: 3997 download_size: 489846 dataset_size: 2112490 - config_name: UNER_English_EWT_eng features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 437565 num_examples: 2077 - name: dev num_bytes: 437579 num_examples: 2001 - name: train num_bytes: 3486706 num_examples: 12543 download_size: 866641 dataset_size: 4361850 - config_name: UNER_Maghrebi_Arabic_French-Arabizi_arq features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 38477 num_examples: 145 - name: dev num_bytes: 38771 num_examples: 139 - name: train num_bytes: 270542 num_examples: 1003 download_size: 126408 dataset_size: 347790 - config_name: UNER_Portuguese-Bosque_por features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 469487 num_examples: 1167 - name: dev num_bytes: 482843 num_examples: 1172 - name: train num_bytes: 2911772 num_examples: 7018 download_size: 843103 dataset_size: 3864102 - config_name: UNER_Slovak_SNK_slk features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 241070 num_examples: 1061 - name: dev num_bytes: 241081 num_examples: 1060 - name: train num_bytes: 1495625 num_examples: 8483 download_size: 568324 dataset_size: 1977776 - config_name: UNER_Swedish_Talkbanken_swe features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 370584 num_examples: 1219 - name: dev num_bytes: 176500 num_examples: 504 - name: train num_bytes: 1217776 num_examples: 4303 download_size: 403356 dataset_size: 1764860 - config_name: WNUT17_eng features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 406630 num_examples: 1287 - name: dev num_bytes: 260477 num_examples: 1009 - name: train num_bytes: 1079473 num_examples: 3394 download_size: 465718 dataset_size: 1746580 - config_name: WikiGoldSK_slk features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 463437 num_examples: 1340 - name: dev num_bytes: 232557 num_examples: 669 - name: train num_bytes: 1642606 num_examples: 4687 download_size: 703508 dataset_size: 2338600 - config_name: elNER_ell features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 1390225 num_examples: 2116 - name: dev num_bytes: 1225027 num_examples: 1904 - name: train num_bytes: 11232482 num_examples: 17132 download_size: 2812213 dataset_size: 13847734 - config_name: hr500k_hrv features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 1648437 num_examples: 4341 - name: dev num_bytes: 831697 num_examples: 2499 - name: train num_bytes: 6332097 num_examples: 17869 download_size: 2027179 dataset_size: 8812231 - config_name: ssj500k_slv features: - name: id dtype: int64 - name: tokens list: string - name: ner_tags list: class_label: names: '0': O '1': B-LOC '2': I-LOC '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-ADAGE '8': I-ADAGE '9': B-ART '10': I-ART '11': B-ART-DERIV '12': I-ART-DERIV '13': B-ART-PART '14': B-CARDINAL '15': I-CARDINAL '16': B-CONTACT '17': I-CONTACT '18': B-CORPORATION '19': I-CORPORATION '20': B-CREATIVE_WORK '21': I-CREATIVE_WORK '22': B-DATE '23': I-DATE '24': B-DATETIME '25': I-DATETIME '26': B-DERIV '27': I-DERIV '28': B-DESIGNATION '29': I-DESIGNATION '30': B-DISEASE '31': I-DISEASE '32': B-EVENT '33': I-EVENT '34': B-EVENT-DERIV '35': B-EVENT-PART '36': B-FACILITY '37': I-FACILITY '38': B-FESTIVAL '39': I-FESTIVAL '40': B-GAME '41': I-GAME '42': B-GPE '43': I-GPE '44': B-GPE-LOC '45': I-GPE-LOC '46': B-GPE-ORG '47': I-GPE-ORG '48': B-GROUP '49': I-GROUP '50': B-LANG '51': I-LANG '52': B-LANG-DERIV '53': B-LANG-PART '54': B-LAW '55': I-LAW '56': B-LITERATURE '57': I-LITERATURE '58': B-LOC-DERIV '59': I-LOC-DERIV '60': B-LOC-PART '61': I-LOC-PART '62': B-MEASURE '63': I-MEASURE '64': B-MISC '65': I-MISC '66': B-MISC-DERIV '67': I-MISC-DERIV '68': B-MISC-PART '69': I-MISC-PART '70': B-MONEY '71': I-MONEY '72': B-MOVEMENT '73': I-MOVEMENT '74': B-NON_HUMAN '75': I-NON_HUMAN '76': B-NORP '77': I-NORP '78': B-NUM '79': I-NUM '80': B-ORDINAL '81': I-ORDINAL '82': B-ORG-DERIV '83': I-ORG-DERIV '84': B-ORG-PART '85': I-ORG-PART '86': B-PER-DERIV '87': I-PER-DERIV '88': B-PER-PART '89': I-PER-PART '90': B-PERCENT '91': I-PERCENT '92': B-PERCENTAGE '93': I-PERCENTAGE '94': B-PERIOD '95': I-PERIOD '96': B-PET_NAME '97': I-PET_NAME '98': B-PHONE '99': I-PHONE '100': B-POSITION '101': I-POSITION '102': B-PRODUCT '103': I-PRODUCT '104': B-PROJECT '105': I-PROJECT '106': B-QUANTITY '107': I-QUANTITY '108': B-RELIGION '109': I-RELIGION '110': B-RELIGION-DERIV '111': B-TIME '112': I-TIME '113': B-TITLE_AFFIX '114': I-TITLE_AFFIX splits: - name: test num_bytes: 391643 num_examples: 1134 - name: dev num_bytes: 404929 num_examples: 1147 - name: train num_bytes: 3305556 num_examples: 9077 download_size: 1045020 dataset_size: 4102128 configs: - config_name: AQMAR_ara data_files: - split: test path: AQMAR/ara/test-* - split: dev path: AQMAR/ara/dev-* - split: train path: AQMAR/ara/train-* - config_name: AnCora_cat data_files: - split: test path: AnCora/cat/test-* - split: dev path: AnCora/cat/dev-* - split: train path: AnCora/cat/train-* - config_name: AnCora_spa data_files: - split: test path: AnCora/spa/test-* - split: dev path: AnCora/spa/dev-* - split: train path: AnCora/spa/train-* - config_name: ArmanPersoNER_fas data_files: - split: test path: ArmanPersoNER/fas/test-* - split: train path: ArmanPersoNER/fas/train-* - config_name: BarNER_bar data_files: - split: test path: BarNER/bar/test-* - split: dev path: BarNER/bar/dev-* - split: train path: BarNER/bar/train-* - config_name: CONLL02_nld data_files: - split: test path: CONLL02/nld/test-* - split: dev path: CONLL02/nld/dev-* - split: train path: CONLL02/nld/train-* - config_name: CONLL02_spa data_files: - split: test path: CONLL02/spa/test-* - split: dev path: CONLL02/spa/dev-* - split: train path: CONLL02/spa/train-* - config_name: DaNE_dan data_files: - split: test path: DaNE/dan/test-* - split: dev path: DaNE/dan/dev-* - split: train path: DaNE/dan/train-* - config_name: EIEC_eus data_files: - split: test path: EIEC/eus/test-* - split: train path: EIEC/eus/train-* - config_name: EverestNER_nep data_files: - split: test path: EverestNER/nep/test-* - split: train path: EverestNER/nep/train-* - config_name: GermEval_deu data_files: - split: test path: GermEval/deu/test-* - split: dev path: GermEval/deu/dev-* - split: train path: GermEval/deu/train-* - config_name: HiNER_hin data_files: - split: test path: HiNER/hin/test-* - split: dev path: HiNER/hin/dev-* - split: train path: HiNER/hin/train-* - config_name: Japanese_GSD_jap data_files: - split: test path: Japanese_GSD/jap/test-* - split: dev path: Japanese_GSD/jap/dev-* - split: train path: Japanese_GSD/jap/train-* - config_name: KIND_ita data_files: - split: test path: KIND/ita/test-* - split: train path: KIND/ita/train-* - config_name: KazNERD_kaz data_files: - split: test path: KazNERD/kaz/test-* - split: dev path: KazNERD/kaz/dev-* - split: train path: KazNERD/kaz/train-* - config_name: L3Cube_MahaNER_mar data_files: - split: test path: L3Cube_MahaNER/mar/test-* - split: dev path: L3Cube_MahaNER/mar/dev-* - split: train path: L3Cube_MahaNER/mar/train-* - config_name: MasakhaNER_2_bam data_files: - split: test path: MasakhaNER_2/bam/test-* - split: dev path: MasakhaNER_2/bam/dev-* - split: train path: MasakhaNER_2/bam/train-* - config_name: MasakhaNER_2_bbj data_files: - split: test path: MasakhaNER_2/bbj/test-* - split: dev path: MasakhaNER_2/bbj/dev-* - split: train path: MasakhaNER_2/bbj/train-* - config_name: MasakhaNER_2_ewe data_files: - split: test path: MasakhaNER_2/ewe/test-* - split: dev path: MasakhaNER_2/ewe/dev-* - split: train path: MasakhaNER_2/ewe/train-* - config_name: MasakhaNER_2_fon data_files: - split: test path: MasakhaNER_2/fon/test-* - split: dev path: MasakhaNER_2/fon/dev-* - split: train path: MasakhaNER_2/fon/train-* - config_name: MasakhaNER_2_hau data_files: - split: test path: MasakhaNER_2/hau/test-* - split: dev path: MasakhaNER_2/hau/dev-* - split: train path: MasakhaNER_2/hau/train-* - config_name: MasakhaNER_2_ibo data_files: - split: test path: MasakhaNER_2/ibo/test-* - split: dev path: MasakhaNER_2/ibo/dev-* - split: train path: MasakhaNER_2/ibo/train-* - config_name: MasakhaNER_2_kin data_files: - split: test path: MasakhaNER_2/kin/test-* - split: dev path: MasakhaNER_2/kin/dev-* - split: train path: MasakhaNER_2/kin/train-* - config_name: MasakhaNER_2_lug data_files: - split: test path: MasakhaNER_2/lug/test-* - split: dev path: MasakhaNER_2/lug/dev-* - split: train path: MasakhaNER_2/lug/train-* - config_name: MasakhaNER_2_luo data_files: - split: test path: MasakhaNER_2/luo/test-* - split: dev path: MasakhaNER_2/luo/dev-* - split: train path: MasakhaNER_2/luo/train-* - config_name: MasakhaNER_2_mos data_files: - split: test path: MasakhaNER_2/mos/test-* - split: dev path: MasakhaNER_2/mos/dev-* - split: train path: MasakhaNER_2/mos/train-* - config_name: MasakhaNER_2_nya data_files: - split: test path: MasakhaNER_2/nya/test-* - split: dev path: MasakhaNER_2/nya/dev-* - split: train path: MasakhaNER_2/nya/train-* - config_name: MasakhaNER_2_pcm data_files: - split: test path: MasakhaNER_2/pcm/test-* - split: dev path: MasakhaNER_2/pcm/dev-* - split: train path: MasakhaNER_2/pcm/train-* - config_name: MasakhaNER_2_sna data_files: - split: test path: MasakhaNER_2/sna/test-* - split: dev path: MasakhaNER_2/sna/dev-* - split: train path: MasakhaNER_2/sna/train-* - config_name: MasakhaNER_2_swa data_files: - split: test path: MasakhaNER_2/swa/test-* - split: dev path: MasakhaNER_2/swa/dev-* - split: train path: MasakhaNER_2/swa/train-* - config_name: MasakhaNER_2_tsn data_files: - split: test path: MasakhaNER_2/tsn/test-* - split: dev path: MasakhaNER_2/tsn/dev-* - split: train path: MasakhaNER_2/tsn/train-* - config_name: MasakhaNER_2_twi data_files: - split: test path: MasakhaNER_2/twi/test-* - split: dev path: MasakhaNER_2/twi/dev-* - split: train path: MasakhaNER_2/twi/train-* - config_name: MasakhaNER_2_wol data_files: - split: test path: MasakhaNER_2/wol/test-* - split: dev path: MasakhaNER_2/wol/dev-* - split: train path: MasakhaNER_2/wol/train-* - config_name: MasakhaNER_2_xho data_files: - split: test path: MasakhaNER_2/xho/test-* - split: dev path: MasakhaNER_2/xho/dev-* - split: train path: MasakhaNER_2/xho/train-* - config_name: MasakhaNER_2_yor data_files: - split: test path: MasakhaNER_2/yor/test-* - split: dev path: MasakhaNER_2/yor/dev-* - split: train path: MasakhaNER_2/yor/train-* - config_name: MasakhaNER_2_zul data_files: - split: test path: MasakhaNER_2/zul/test-* - split: dev path: MasakhaNER_2/zul/dev-* - split: train path: MasakhaNER_2/zul/train-* - config_name: MasakhaNER_amh data_files: - split: test path: MasakhaNER/amh/test-* - split: dev path: MasakhaNER/amh/dev-* - split: train path: MasakhaNER/amh/train-* - config_name: MasakhaNER_hau data_files: - split: test path: MasakhaNER/hau/test-* - split: dev path: MasakhaNER/hau/dev-* - split: train path: MasakhaNER/hau/train-* - config_name: MasakhaNER_ibo data_files: - split: test path: MasakhaNER/ibo/test-* - split: dev path: MasakhaNER/ibo/dev-* - split: train path: MasakhaNER/ibo/train-* - config_name: MasakhaNER_kin data_files: - split: test path: MasakhaNER/kin/test-* - split: dev path: MasakhaNER/kin/dev-* - split: train path: MasakhaNER/kin/train-* - config_name: MasakhaNER_lug data_files: - split: test path: MasakhaNER/lug/test-* - split: dev path: MasakhaNER/lug/dev-* - split: train path: MasakhaNER/lug/train-* - config_name: MasakhaNER_luo data_files: - split: test path: MasakhaNER/luo/test-* - split: dev path: MasakhaNER/luo/dev-* - split: train path: MasakhaNER/luo/train-* - config_name: MasakhaNER_pcm data_files: - split: test path: MasakhaNER/pcm/test-* - split: dev path: MasakhaNER/pcm/dev-* - split: train path: MasakhaNER/pcm/train-* - config_name: MasakhaNER_swa data_files: - split: test path: MasakhaNER/swa/test-* - split: dev path: MasakhaNER/swa/dev-* - split: train path: MasakhaNER/swa/train-* - config_name: MasakhaNER_wol data_files: - split: test path: MasakhaNER/wol/test-* - split: dev path: MasakhaNER/wol/dev-* - split: train path: MasakhaNER/wol/train-* - config_name: MasakhaNER_yor data_files: - split: test path: MasakhaNER/yor/test-* - split: dev path: MasakhaNER/yor/dev-* - split: train path: MasakhaNER/yor/train-* - config_name: NEMO_SPMRL_heb data_files: - split: test path: NEMO_SPMRL/heb/test-* - split: dev path: NEMO_SPMRL/heb/dev-* - split: train path: NEMO_SPMRL/heb/train-* - config_name: NEMO_UD_heb data_files: - split: test path: NEMO_UD/heb/test-* - split: dev path: NEMO_UD/heb/dev-* - split: train path: NEMO_UD/heb/train-* - config_name: NorNE_nno data_files: - split: test path: NorNE/nno/test-* - split: dev path: NorNE/nno/dev-* - split: train path: NorNE/nno/train-* - config_name: NorNE_nob data_files: - split: test path: NorNE/nob/test-* - split: dev path: NorNE/nob/dev-* - split: train path: NorNE/nob/train-* - config_name: RONEC_ron data_files: - split: test path: RONEC/ron/test-* - split: train path: RONEC/ron/train-* - config_name: SLI_Galician_Corpora_glg data_files: - split: test path: SLI_Galician_Corpora/glg/test-* - split: train path: SLI_Galician_Corpora/glg/train-* - config_name: ThaiNNER_tha data_files: - split: test path: ThaiNNER/tha/test-* - split: train path: ThaiNNER/tha/train-* - config_name: TurkuNLP_fin data_files: - split: test path: TurkuNLP/fin/test-* - split: dev path: TurkuNLP/fin/dev-* - split: train path: TurkuNLP/fin/train-* - config_name: Tweebank_eng data_files: - split: test path: Tweebank/eng/test-* - split: dev path: Tweebank/eng/dev-* - split: train path: Tweebank/eng/train-* - config_name: UNER_Chinese_GSDSIMP_cmn data_files: - split: test path: UNER_Chinese_GSDSIMP/cmn/test-* - split: dev path: UNER_Chinese_GSDSIMP/cmn/dev-* - split: train path: UNER_Chinese_GSDSIMP/cmn/train-* - config_name: UNER_Chinese_GSD_cmn data_files: - split: test path: UNER_Chinese_GSD/cmn/test-* - split: dev path: UNER_Chinese_GSD/cmn/dev-* - split: train path: UNER_Chinese_GSD/cmn/train-* - config_name: UNER_English_EWT_eng data_files: - split: test path: UNER_English_EWT/eng/test-* - split: dev path: UNER_English_EWT/eng/dev-* - split: train path: UNER_English_EWT/eng/train-* - config_name: UNER_Maghrebi_Arabic_French-Arabizi_arq data_files: - split: test path: UNER_Maghrebi_Arabic_French-Arabizi/arq/test-* - split: dev path: UNER_Maghrebi_Arabic_French-Arabizi/arq/dev-* - split: train path: UNER_Maghrebi_Arabic_French-Arabizi/arq/train-* - config_name: UNER_Portuguese-Bosque_por data_files: - split: test path: UNER_Portuguese-Bosque/por/test-* - split: dev path: UNER_Portuguese-Bosque/por/dev-* - split: train path: UNER_Portuguese-Bosque/por/train-* - config_name: UNER_Slovak_SNK_slk data_files: - split: test path: UNER_Slovak_SNK/slk/test-* - split: dev path: UNER_Slovak_SNK/slk/dev-* - split: train path: UNER_Slovak_SNK/slk/train-* - config_name: UNER_Swedish_Talkbanken_swe data_files: - split: test path: UNER_Swedish_Talkbanken/swe/test-* - split: dev path: UNER_Swedish_Talkbanken/swe/dev-* - split: train path: UNER_Swedish_Talkbanken/swe/train-* - config_name: WNUT17_eng data_files: - split: test path: WNUT17/eng/test-* - split: dev path: WNUT17/eng/dev-* - split: train path: WNUT17/eng/train-* - config_name: WikiGoldSK_slk data_files: - split: test path: WikiGoldSK/slk/test-* - split: dev path: WikiGoldSK/slk/dev-* - split: train path: WikiGoldSK/slk/train-* - config_name: elNER_ell data_files: - split: test path: elNER/ell/test-* - split: dev path: elNER/ell/dev-* - split: train path: elNER/ell/train-* - config_name: hr500k_hrv data_files: - split: test path: hr500k/hrv/test-* - split: dev path: hr500k/hrv/dev-* - split: train path: hr500k/hrv/train-* - config_name: ssj500k_slv data_files: - split: test path: ssj500k/slv/test-* - split: dev path: ssj500k/slv/dev-* - split: train path: ssj500k/slv/train-* pretty_name: 'OpenNER 1.0: Standardized Open-Access Named Entity Recognition Datasets in 50+ Languages' size_categories: 100K OpenNER 1.0 is a standardized collection of openly-available named entity recognition (NER) datasets. OpenNER contains 36 NER corpora that span 52 languages, human-annotated in varying named entity ontologies. We correct annotation format issues, standardize the original datasets into a uniform representation with consistent entity type names across corpora, and provide the collection in a structure that enables research in multilingual and multi-ontology NER. This version of the dataset contains all original entity types for each dataset after validation and normalization. ## Dataset Details ### Dataset Description - **Curated by:** BLT Lab: Chester Palen-Michel, Maxwell Pickering, Maya Kruse, Jonne Sälevä, & Constantine Lignos - **Shared by:** Chester Palen-Michel - **Language(s) (NLP):** Akan/Twi, Algerian Arabic,Amharic, Arabic, Bambara, Basque, Bavarian German, Catalan, Chichewa, chiShona, Croatian, Danish, Dutch, English, Éwé, Finnish, Fon, Galician, German, Ghomálá', Greek, Hausa, Hebrew, Hindi, Igbo, isiXhosa, Italian, Japanese, Kazakh, Kinyarwanda, Kiswahili, Luganda, Luo, Mandarin Chinese, Marathi, Mossi, Naija, Nepali, Norwegian, Persian Farsi, Portuguese, Romanian, Setswana, Slovak, Slovenian, Spanish, Swedish, Thai, Wolof, Yoruba, Zulu, - **License:** CC-BY 4.0 for the OpenNER collection. Individual datasets have their own licenses. ### Dataset Sources - **Repository:** [OpenNER Github](https://github.com/bltlab/open-ner) - **Paper:** [ACL Anthology](https://aclanthology.org/2025.emnlp-main.1708/) and [arXiv](https://arxiv.org/abs/2412.09587) ## Uses Primarily to be used for research regarding multilingual NER with different entity sets and annotation guidelines. ## Dataset Structure ``` { 'id': '0', 'tokens': ['Melbourne', '(', 'Australia', ')', ',', '25', 'may', '(', 'EFE', ')', '.'], 'ner_tags': [5, 0, 5, 0, 0, 0, 0, 0, 3, 0, 0] } ``` The `ner_tags` column includes an internal `int2str` map to access the corresponding string label for each integer label. ## Dataset Creation ### Curation Rationale There are many NER datasets but many have different formats, label names, and label schemas. OpenNER standardizes and collects these many NER datasets in easily accessible format and place. ### Source Data OpenNER primarily contains newswire and web text. See our paper with each cited paper describing each dataset for details of source data. #### Data Collection and Processing See our paper for details on data collection and processing. #### Who are the source data producers? See our paper with each cited paper describing each dataset for details of source data. ### Annotations Annotation is named entity recognition annotation on each token in BIO format. #### Annotation process See our paper with each cited paper for each dataset for details on the annotation process. #### Who are the annotators? OpenNER is a collection of many existing datasets which have been human annotated. Annotator details are included in each dataset's original publication. Citations for each work can be found in our paper. #### Personal and Sensitive Information To the best of our knowledge there is no personal or sensitive information beyond that which generally occurs in newswire text. ## Bias, Risks, and Limitations See our paper for discussion of limitations and biases. ### Recommendations See our paper for recommendations regarding OpenNER. ## Citation If you make use of this dataset, please cite our paper using this bibtex: **BibTeX:** ``` @inproceedings{palen-michel-etal-2025-openner, title = "{O}pen{NER} 1.0: Standardized Open-Access Named Entity Recognition Datasets in 50+ Languages", author = {Palen-Michel, Chester and Pickering, Maxwell and Kruse, Maya and S{\"a}lev{\"a}, Jonne and Lignos, Constantine}, editor = "Christodoulopoulos, Christos and Chakraborty, Tanmoy and Rose, Carolyn and Peng, Violet", booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing", month = nov, year = "2025", address = "Suzhou, China", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2025.emnlp-main.1708/", doi = "10.18653/v1/2025.emnlp-main.1708", pages = "33637--33662", ISBN = "979-8-89176-332-6", abstract = "We present OpenNER 1.0, a standardized collection of openly-available named entity recognition (NER) datasets.OpenNER contains 36 NER corpora that span 52 languages, human-annotated in varying named entity ontologies.We correct annotation format issues, standardize the original datasets into a uniform representation with consistent entity type names across corpora, and provide the collection in a structure that enables research in multilingual and multi-ontology NER.We provide baseline results using three pretrained multilingual language models and two large language models to compare the performance of recent models and facilitate future research in NER.We find that no single model is best in all languages and that significant work remains to obtain high performance from LLMs on the NER task.OpenNER is released at https://github.com/bltlab/open-ner." } ``` ## Dataset Card Authors Chester Palen-Michel [@cpalenmichel](https://github.com/cpalenmichel) ## Dataset Card Contact Chester Palen-Michel [@cpalenmichel](https://github.com/cpalenmichel)