Unnamed: 0 int64 0 335k | question stringlengths 17 26.8k | answer stringlengths 1 7.13k | user_parent stringclasses 29
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5,100 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Ang', 'paksyon', 'sa', 'PDP-Laban', ',', 'nga', 'gipangulohan', 'ni', 'kanhi', 'Presidente', 'Rodrigo', 'Duterte', ',', 'miuyon', 'sa', 'pag-isyu', 'sa', 'usa', 'ka', 'resolusyon', 'sa'... | [0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0] | cebuaner |
5,101 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Karong', 'Lunes', ',', 'Marso', '20', ',', 'gihatagan', 'sa', 'House', 'Committee', 'on', 'Ethics', 'and', 'Privileges', 'si', 'Negros', 'Oriental', 'Rep.', 'Arnolfo', 'Teves', 'Jr.', '... | [0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 0, 5, 6, 0, 1, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 0, 0, 3, 4, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,102 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Road', 'to', '3rd', 'floor', 'Ambot', 'oy', '!', '!', 'Di', 'nko', 'ma', 'gets', 'uban', 'artist', 'ngano', 'pugson', 'ug', 'di', 'kaya', '!', 'Ngano', 'pugson', 'ug', 'dili', 'sure..']... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,103 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Sukad', 'sa', '2017', ',', 'si', 'kanhi', 'Senador', 'Leila', 'de', 'Lima', 'napriso', 'tungod', 'sa', 'mga', 'kaso', 'sa', 'droga', ',', 'bisan', 'kung', 'daghang', 'mga', 'yawe', 'nga... | [0, 0, 0, 0, 0, 0, 0, 1, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0] | cebuaner |
5,104 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['"', 'Bisan', 'unsa', 'pa', 'ang', 'mahitabo', ',', 'ayaw', 'jud', 'pagmata', '.', '"'] Use the following schema: 1 = B-WIS: Beginning of a tourism-related entity; 2 = I-WIS: Continuatio... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,105 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['kakapoyin', 'pero', 'hindi', 'uundang', 'at', 'susurrender'] Use the following schema: 1 = B-WIS: Beginning of a tourism-related entity; 2 = I-WIS: Continuation of a tourism-related ent... | [0, 0, 0, 0, 0, 0] | cebuaner |
5,106 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['chamba', 'nalang', 'gyud', 'maka', 'kita', 'ta', 'og', 'partner', ',', 'nga', 'dili', 'maibog', 'sa', 'lain'] Use the following schema: 1 = B-WIS: Beginning of a tourism-related entity;... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,107 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Grabeng', 'hinilotay', 'uy.', 'Ma-bun-og', 'man', 'pod', 'ang', 'bukog', 'ani'] Use the following schema: 1 = B-WIS: Beginning of a tourism-related entity; 2 = I-WIS: Continuation of a ... | [0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,108 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Lisud', 'kaayo', 'e', 'pretend', 'na', 'Okey', 'ka', 'labi', 'nag', 'di', 'mao', 'ang', 'ticket', 'imong', 'nadala', '.'] Use the following schema: 1 = B-WIS: Beginning of a tourism-rel... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,109 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Dugay', 'na', 'nakong', 'gipraktis', 'ang', 'duck', ',', 'cover', 'ug', 'hold', ',', 'maghidga', 'raman', 'diay', 'ko', 'basta', 'maglinog'] Use the following schema: 1 = B-WIS: Beginni... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,110 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['TOXIC', 'FILIPINO', 'CULTURE', '!', ''', 'Nag-post', 'og', 'hugot', 'ang', 'TV', 'host', 'og', 'karon', 'Binibining', 'Pilipinas', 'candidate', 'nga', 'si', 'Harlene', 'Nicole', 'Budol'... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 0, 0, 0, 1, 2, 2, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,111 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Basta', 'putot', ',', 'gwapa'] Use the following schema: 1 = B-WIS: Beginning of a tourism-related entity; 2 = I-WIS: Continuation of a tourism-related entity; 3 = B-LOC: Beginning of a... | [0, 0, 0, 0] | cebuaner |
5,112 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Kanang', 'stress', 'na', 'kaayo', 'ka', 'sa', 'kinabuhi.', 'pero', 'gwapa', 'lang', 'japon', 'ka.', '#', 'HugotBisaya'] Use the following schema: 1 = B-WIS: Beginning of a tourism-relat... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,113 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Kanang', 'giihaw', 'naka', 'pero', 'attitude', 'gyapon', 'ka', '.'] Use the following schema: 1 = B-WIS: Beginning of a tourism-related entity; 2 = I-WIS: Continuation of a tourism-rela... | [0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,114 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['BITAW', ',', 'BITAW', 'Famous', 'Cebuana', 'moto', 'vlogger', 'Jet', 'Lee', 'has', 'a', 'piece', 'of', 'funny', 'yet', 'witty', 'advice', 'to', 'her', 'followers.', 'she', 'wrote.', 'Sa... | [0, 0, 0, 0, 7, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2] | cebuaner |
5,115 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Dili', 'tamo', 'pakyason', '“Daghang', 'salamat', 'sa', 'paghatag', 'sa', 'ako', 'og', 'bag-ong', 'higayon', 'nga', 'ipadayon', 'ang', 'akong', 'nasugdan.', 'Ang', 'resulta', 'sa', 'ele... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0] | cebuaner |
5,116 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Kasuway', 'sad', 'ko', 'ani', 'uyyy', ',', 'kaog', 'cracklings', 'sa', 'daplin'] Use the following schema: 1 = B-WIS: Beginning of a tourism-related entity; 2 = I-WIS: Continuation of a... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,117 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Kaniadtong', 'Martes', ',', 'Mayo', '10', ',', 'ang', 'beteranong', 'broadcast', 'journalist', 'sa', 'GMA-7', 'nga', 'si', 'Mike', 'Enriquez', 'nipahinumdom', 'sa', 'mga', 'mananaug', '... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0] | cebuaner |
5,118 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['OH', ',', 'NAKUYAWAN', 'KA', ',', ''NO', '?', '!', 'Sa', 'bag-ohay', 'nga', 'mga', 'adlaw', ',', 'ang', 'kanhi', 'action', 'star', 'nga', 'si', 'Robin', 'Padilla', 'ug', 'ang', 'sikat',... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 1, 2, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0] | cebuaner |
5,119 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['CHILLIN', ''AND', 'SWIMMIN', ''', 'Nag-pahayahay', 'sa', 'daplin', 'sa', 'dagat', 'human', 'sa', 'pipila', 'ka', 'binulang', 'busy', 'sa', 'campaign', 'period', 'si', 'Presumptive', 'Vi... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0] | cebuaner |
5,120 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['GIHIGUGMA', 'TA', ''MO', '!', '"', 'Daghang', ',', 'daghang', 'salamat', 'sa', 'matag', 'Pilipino', 'nga', 'misalig', 'ug', 'misuporta', '.', '"'] Use the following schema: 1 = B-WIS: B... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0] | cebuaner |
5,121 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['ANTIQUE', ':', 'KULTURA.', 'TRADISYON.', 'SINING.', 'Giimbita', 'ni', 'Loren', 'Legarda', 'ang', 'Antique', 'Artists', 'Fair', 'nga', 'nagtumong', 'sa', 'pag-atiman', 'sa', 'kultura', '... | [0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 3, 4, 4, 4, 0, 0, 5, 6, 0, 1, 2, 0] | cebuaner |
5,122 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Loren', 'Loves', 'Laguna', 'Daghang', 'salamat', 'sa', 'atong', 'mga', 'kababayan', 'sa', 'San', 'Pedro', ',', '#', 'Laguna', 'sa', 'inyong', 'init', 'nga', 'pagdawat', '!', 'Lipay', 'k... | [1, 0, 5, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 2, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 8, 8... | cebuaner |
5,123 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['“Bisag', 'unsa', 'atong', 'partido', 'o', 'kulay', ',', 'nagkasinabot', 'ta', 'nga', 'kinahanglan', 'nato', 'iluwas', 'atong', 'kalibutan—ikampanya', 'sad', 'ni', 'nato.', 'Sa', 'mga', ... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,124 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['‘UTOK’', 'SA', 'SENADO', '“Ang', 'ganahan', 'nako', 'kay', 'naa'y', 'utok', ',', 'sama', 'ni', 'Loren', 'Legarda.', 'Sayang', 'kung', 'wala', 'na', 'sa', 'Senado', '...', 'Tanan', 'akon... | [0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 8, 0, 1, 2] | cebuaner |
5,125 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Simula', 'Hunyo', ',', 'mangongolekta', 'ang', 'PhilHealth', 'ng', 'mas', 'mataas', 'na', 'premium', 'contribution', 'sa', 'lahat', 'ng', 'miyembro', 'nito.', 'Mula', 'sa', '3', '%', 'n... | [0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 8, 8, 8, 8, 0] | cebuaner |
5,126 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['LIBRENG', 'KOLEHIYO', ':', 'Para', 'mo', 'gamay', 'ang', 'mga', 'estudyante', 'nga', 'ni-undang', 'sa', 'pag', 'eskuwela', 'tungod', 'kay', 'kuwang', 'sa', 'kuwarta', ',', 'gipatuman', ... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 7, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0] | cebuaner |
5,127 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Loren', 'Legarda', 'Amoang', 'inspirayon', 'ang', 'istorya', 'sa', 'matag', 'kinabuhi', 'nga', 'nabag-o', 'ug', 'milambo', 'tungod', 'sa', 'mga', 'balaod', 'nga', 'among', 'gihimo', 'ug... | [1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,128 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['OPENING', 'SA', 'PINAKABAG-ONG', 'MALL', 'SA', 'DAVAO', 'CITY', 'KARONG', 'BULANA', ',', 'GINAATANGAN', 'NA', '!', 'Ginaatangan', 'na', 'sa', 'mga', 'Dabawenyos', 'ang', 'gitakdang', 's... | [0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 5, 6, 6, 0, 0, 0, 0, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 6, 0, 5, 6, 0, 5, 6, 0, 5, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
5,129 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Law-di', 'Loren', 'Mitabang', 'si', 'Loren', 'Legarda', 'sa', 'nagkalain-laing', 'ahensya', 'sa', 'nasudnong', 'kagamhanan', 'alang', 'sa', 'pagpatuman', 'sa', 'nagkalain-laing', 'progr... | [0, 1, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 7, 8, 8, 8, 8, 8, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 8, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,130 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nawaan', 'og', 'trabaho', '?', 'GOBYERNO', 'ANG', 'BAHALA', 'NIMO', '!', '“’Di', 'na', 'kinahanglan', 'mangutang', 'ang', 'mga', 'nawagtangan', 'og', 'trabaho.', 'Hinuon', ',', 'sa', 'i... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,131 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['BALIK-TRABAHO', ',', 'BALIK-KITA', '“Kung', 'naabot', 'nato', 'ang', 'kadaugan', 'sa', 'paghiusa', ',', 'makita', 'nato', 'atong', 'mga', 'kababayan', 'nga', 'makabalik', 'na', 'sa', 'i... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,132 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Pagtabang', ',', 'abot', 'hangtod', 'Davao', 'City', 'IKAW', 'NA', 'JUD', '!', '“Daghang', 'salamat', 'sa', 'SMNI', 'nga', 'gi', 'sugtan', 'kong', 'sorpresahon', 'og', 'regaluhan', 'og'... | [0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 5, 6, 6, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 5, 6, 0, 1, 2] | cebuaner |
5,133 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['MELAI', 'NANGAMPANYA', 'PARA', 'KAY', 'LENI', 'Melai', 'Cantiveros', 'mibisita', 'sa', 'Surigao', 'City', 'aron', 'mangampanya', 'sa', 'kandidatora', 'ni', 'Bise-Presidente', 'Leni', 'R... | [1, 0, 0, 0, 1, 1, 2, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,134 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['“Suwerte', 'kaayo', 'ko', ',', 'usa', 'ka', 'batan-ong', 'pulitiko', ',', 'tungod', 'kay', 'adunay', 'mga', 'senior', 'politicians', ',', 'sama', 'ni', 'Senador', 'Loren', 'Legarda', ',... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 1, 2] | cebuaner |
5,135 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['NGANO', 'GISULOD', 'ANG', 'PULITIKA', '?', '“Isip', 'usa', 'nga', 'taga', 'balita', 'sauna', ',', 'akong', 'gidokumento', 'ang', 'mga', 'problema', 'sa', 'katilingban.', 'Akong', 'nakit... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,136 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['WALA', 'SA', 'KULAY', ',', 'NASA', 'SERBISYO', '“Tanan', 'nga', 'bulak', ',', 'bisag', 'unsa', 'nga', 'klase', 'o', 'kulay', ',', 'kay', 'nindot.', 'Ingon', 'ana', 'sad', 'sa', 'pulitik... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0] | cebuaner |
5,137 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['ATONG', 'HIBAW-AN', '“Kinahanglan', 'nga', 'nahibaw-an', 'nato', 'ang', '94', 'protected', 'areas', ',', 'endangered', 'species', ',', 'sa', 'daghang', 'biodiversity.', 'Unsaon', 'nimo'... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,138 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Love', 'ba', 'nimo', 'si', 'Mother', 'Earth', '?', 'THINK', 'GREEN', '!', '“Ang', 'atong', 'environmental', 'laws', ',', 'sama', 'sa', 'Ecological', 'Solid', 'Waste', 'Management', 'Act... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 8, 8, 0, 7, 8, 8, 0, 7, 8, 8, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2] | cebuaner |
5,139 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['BISAG', '1', 'BANGSA', ',', 'NAGSUPORTA', 'Ang', 'One', 'Bangsamoro', 'Movement', '(', '1', 'BANGSA', ')', 'nipadayag', 'og', 'suporta', 'sa', 'kandidatura', 'sa', 'pagkasenador', 'ni',... | [0, 7, 8, 0, 0, 0, 7, 8, 8, 8, 8, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 0, 0, 7, 8, 8, 0] | cebuaner |
5,140 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nindot', 'kaayo', 'nga', 'surpresa', 'gikan', 'ni', 'Mayor', 'Inday', 'Sara', 'ug', 'Pastor', 'Apollo', 'Quiboloy', '!', 'Daghang', 'salamat', 'sa', 'paghatag', 'og', 'oras', 'sa', 'pag... | [0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
5,141 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['DAOG', 'ANG', 'NAA'Y', 'TRABAHO', '!', 'Mo', 'tuo', 'ang', 'Trabaho', 'Party-list', 'nga', 'kinahanglan', 'nang', 'iseryoso', 'ang', 'kaayohan', 'sa', 'mga', 'trabahador', 'nga', 'Pilip... | [0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,142 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['HANGIN', 'N'YO', 'HUGAW', 'KAAYO', '!', '“Niingon', 'ang', 'World', 'Health', 'Organization', 'nga', 'walong', 'milyong', 'katao', 'sa', 'kalibutan', 'ang', 'namatay', 'kada', 'tuig', '... | [0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,143 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Libreng', 'bakuna', 'kontra', 'Rabis', 'para', 'sa', 'mga', 'iro', 'ug', 'iring', 'headed', 'by', 'Dr.', 'Isabel', 'Gimenez.', 'Salamat', 'sad', 'sa', 'mga', 'volunteers', 'na', 'VSU', ... | [0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 3, 0, 5, 6, 6] | cebuaner |
5,144 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['GI-ULANAN', 'OG', 'SUPORTA', '“Dakong', 'pasalamat', 'sa', 'matag', 'Pilipino', 'nga', 'nisalig', 'ug', 'nisuporta', 'sa', 'akong', 'pangandoy', 'nga', 'magpadayon', 'sa', 'pagserbisyo'... | [0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,145 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['“Naadtoan', 'na', 'nato', 'sa', 'Pampanga', 'ang', 'pinakaunang', 'OFW', 'Hospital', 'sa', 'nasud', ',', 'nga', 'mo', 'hatag', 'og', 'libreng', 'medical', 'assistance', 'sa', 'mga', 'OF... | [0, 0, 0, 0, 5, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,146 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['“Dili', 'tamo', 'ipaubos', ',', 'padayon', 'atong', 'pangandoy', 'para', 'ilaban', 'at', 'ipatuman', 'ang', 'mga', 'balaod', 'og', 'programa', 'nga', 'mo', 'hatag', 'og', 'pag-asa', 'sa... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0] | cebuaner |
5,147 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Dungan', 'sa', 'atong', 'pagsaulog', 'sa', 'Labor', 'Day', 'nakahigayon', 'usab', 'kita', 'sa', 'pagbisita', 'sa', 'unang', 'tambalanan', 'sa', 'nasud', 'kansang', 'prayoridad', 'mao', ... | [0, 0, 0, 0, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0] | cebuaner |
5,148 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['TINGNAN', '|', 'Miting', 'de', 'avance', 'ng', 'UniTeam', 'kahapon', ',', 'ika-3', 'ng', 'Mayo', 'sa', 'Guimbal', ',', 'Iloilo', '.'] Use the following schema: 1 = B-WIS: Beginning of a... | [0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 5, 6, 6, 0] | cebuaner |
5,149 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Loren', ''s', 'Green', 'Philippines', 'Ang', 'Eco-warrior', 'nga', 'si', 'Loren', 'Legarda', 'nagtukod', 'sa', 'Luntiang', 'Pilipinas', 'Foundation', ',', 'usa', 'ka', 'urban', 'greenin... | [1, 0, 7, 8, 0, 0, 0, 0, 1, 2, 0, 0, 3, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 7, 8, 0] | cebuaner |
5,150 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Daghang', 'salamat', ',', '#', 'Cagayan', '!', 'Kasin', 'nindot', 'ang', 'inyong', 'lugar', 'sa', 'pagdawat', 'sa', 'akong', 'pagampanya', 'aron', 'padayon', 'na', 'makaserbisyo.', 'Isi... | [0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 5, 6, 6, 6, 6, 6, 0, 0, 5, 6, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4... | cebuaner |
5,151 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Daghang', 'salamat', 'sa', 'kinasing-kasing', 'na', 'pagdawat', '!', 'Brgy.', 'Domonar', ',', 'Ormoc', 'City'] Use the following schema: 1 = B-WIS: Beginning of a tourism-related entity... | [0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 6, 6] | cebuaner |
5,152 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Kasunod', 'ng', 'Easter', 'Sunday', 'press', 'conference', 'ni', 'Manila', 'Mayor', 'Isko', 'Moreno', 'para', 'manawagang', 'iatras', 'ng', 'katunggaling', 'si', 'Vice', 'President', 'L... | [0, 0, 7, 8, 0, 0, 0, 5, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 0, 0] | cebuaner |
5,153 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['SENADOR', 'PARA', 'SA', 'MGA', 'TRABAHADOR', '“Dungan', 'sa', 'pagsaulog', 'sa', 'Labor', 'Day', 'atong', 'Mayo', '1', ',', 'akong', 'gipaabot', 'ang', 'akong', 'kinasingkasing', 'nga',... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,154 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Kanang', 'card', 'nga', 'malipay', 'kang', 'wala', 'jud', 'nimo', 'nagamit—HEALTH', 'CARD.', 'Kana', 'og', 'lain', 'pang', 'benepisyo', 'ang', 'ilaban', 'sa', 'Trabaho', 'Party-list', '... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 0, 0, 0, 0, 0, 7, 0] | cebuaner |
5,155 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nawaan', 'og', 'trabaho', 'HATAGA'G', 'PUHUNAN', 'SA', 'NEGOSYO', '“Daghan', 'sa', 'atong', 'kababayan', 'ang', 'nawagtanga'g', 'trabaho', 'og', 'panginabuhi', 'tungod', 'sa', 'pandemya... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 7, 8, 0, 7, 8] | cebuaner |
5,156 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Loren', 'Loves', 'Isabela', 'Sa', 'pagbisita', 'sa', 'mga', 'boluntaryo', 'sa', 'Team', 'Loren', 'sa', 'Cabagan', ',', 'Tamauini', ',', 'Ilagan', ',', 'Gamu', ',', 'Burgos', ',', 'ug', ... | [1, 0, 5, 0, 0, 0, 0, 0, 0, 7, 8, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0, 3, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 8, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
5,157 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['SALAMAT', ',', 'IGLESIA', 'NI', 'CRISTO', '!', '“Dako', 'nga', 'dungog', 'nga', 'makadawat', 'sa', 'pagsalig', ',', 'suporta', ',', 'ug', 'pag-endorso', 'sa', 'Iglesia', 'Ni', 'Cristo',... | [0, 0, 3, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,158 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gitanggong', 'karon', 'sa', 'Carbon', 'Police', 'Station', 'ang', 'langyaw', 'nga', 'si', 'Ken', '.'] Use the following schema: 1 = B-WIS: Beginning of a tourism-related entity; 2 = I-W... | [0, 0, 0, 5, 6, 6, 0, 0, 0, 0, 1, 0] | cebuaner |
5,159 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Dihang', 'wa', 'nakahatag', 'og', 'igong', 'rason', 'nganong', 'kuyog', 'niya', 'ang', 'mga', 'bata', ',', 'gi-turnover', 'si', 'Ken', 'ngadto', 'sa', 'kapulisan', '.'] Use the followin... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0] | cebuaner |
5,160 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Hugot', 'nga', 'gipanghimakak', 'ni', 'Ken', 'nga', 'duna', 'siyay', 'dautang', 'tuyo', 'sa', 'mga', 'bata', '.'] Use the following schema: 1 = B-WIS: Beginning of a tourism-related ent... | [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,161 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Matod', 'niya', ',', 'lima', 'ka', 'tuig', 'na', 'siya', 'nga', 'nagbalik-balik', 'sa', 'Sugbo', 'aron', 'pagtabang', 'sa', 'pamilya', 'sa', 'maong', 'mga', 'bata', '.'] Use the followi... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,162 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nakurat', 'na', 'lang', 'siya', 'nga', 'gi-hold', 'sila', 'diha', 'sa', 'terminal', '.'] Use the following schema: 1 = B-WIS: Beginning of a tourism-related entity; 2 = I-WIS: Continuat... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,163 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Giklaro', 'sab', 'niya', 'nga', 'upat', 'lang', 'sa', 'iyang', 'kuyog', 'ang', 'menor', 'de', 'edad', 'samtang', 'ang', 'duha', 'nag-edad', 'na', 'og', '19', 'ug', '18', 'anyos', '.'] U... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,164 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nagsugod', 'ang', 'panaghigalaay', 'nila', 'ni', 'Ken', 'sa', 'pamilya', 'dihang', 'nakaila', 'niya', 'sa', 'internet', 'ang', 'inahan', 'sa', 'mga', 'bata', 'lima', 'ka', 'tuig', 'na'... | [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,165 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Bisan', 'og', 'naminyo', 'ug', 'nakaanak', 'na', 'kini', ',', 'nagpadayon', 'ang', 'ilang', 'panaghigalaay', '.'] Use the following schema: 1 = B-WIS: Beginning of a tourism-related ent... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,166 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gani', 'lakip', 'ang', 'mga', 'ginikanan', 'sa', 'ilang', 'ikakuyog', 'sa', 'Moalboal', 'ug', 'ila', 'lang', 'kining', 'hapiton', 'sa', 'Siyudad', 'sa', 'Naga', 'kon', 'nakadayon', 'pa'... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,167 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gihimug-atan', 'sa', 'langyaw', 'nga', 'di', 'lang', 'ang', 'maong', 'pamilya', 'ang', 'iyang', 'natabangan', '.'] Use the following schema: 1 = B-WIS: Beginning of a tourism-related en... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,168 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gani', 'naka-volunteer', 'siya', 'ug', 'nitabang', 'sa', 'rehabilitasyon', 'sa', 'Bogo', 'City', 'human', 'ang', 'bagyong', 'Yolanda', 'niadtong', '2013', '.'] Use the following schema:... | [0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 7, 8, 0, 0, 0] | cebuaner |
5,169 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Ang', 'usa', 'sa', 'mga', 'dalagita', 'nga', 'kuyog', 'sa', 'langyaw', ',', 'nihimakak', 'nga', 'may', 'pagpangabuso', 'nga', 'himuon', 'ang', 'langyaw', 'kanila', 'bugti', 'sa', 'iyang... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,170 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Matod', 'niya', ',', 'matag', 'anhi', 'ni', 'Ken', 'ubanon', 'sila', 'niini', 'sa', 'pag-', 'travel', '.'] Use the following schema: 1 = B-WIS: Beginning of a tourism-related entity; 2 ... | [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,171 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gihikay', 'na', 'sa', 'Carbon', 'Police', 'Station', 'ang', 'mga', 'dokumento', 'alang', 'sa', 'pagpasaka', 'og', 'tukmang', 'kaso', 'batok', 'sa', 'langyaw', '.'] Use the following sch... | [0, 0, 0, 3, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,172 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Lakip', 'sa', 'gisukit-sukit', 'sa', 'mga', 'pulis', 'ang', 'ginikanan', 'sa', 'mga', 'bata', 'nga', 'kuyog', 'niini', '.'] Use the following schema: 1 = B-WIS: Beginning of a tourism-r... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,173 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Mokabat', 'sa', '15', 'ka', 'mga', 'tawo', 'ang', 'nangaangol', 'sa', 'pabuto', ',', 'apan', 'way', 'naangol', 'tungod', 'sa', 'saag', 'nga', 'mga', 'bala', 'sukad', 'sa', 'gabii', 'sa'... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 0] | cebuaner |
5,174 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Tulo', 'ka', 'mga', 'tawo', 'ang', 'nabuthan', 'og', 'pabuto', 'atol', 'sa', 'pagsaulog', 'sa', 'Pasko', 'sa', 'dakbayan', 'sa', 'Lapu-Lapu', 'samtang', 'usa', 'ka', 'balay', 'kansang'... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,175 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Sa', 'pagka-gabii', 'sa', 'Disyembre', '24', 'ug', '25', 'nadala', 'sa', 'tambalanan', 'ang', 'mga', 'biktima', 'sa', 'dihang', 'ang', '8', 'anyos', 'nga', 'si', 'Inot', 'naka-angkon', ... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,176 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Si', 'Capitan', 'nabuthan', 'sa', 'tuo', 'nga', 'mata', 'samtang', 'wa', 'matino', 'kon', 'asa', 'ang', 'paso', 'o', 'samad', 'nga', 'naangkon', 'ni', 'Agnes', '.'] Use the following sc... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0] | cebuaner |
5,177 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Sa', 'laing', 'bahin', ',', 'usa', 'ka', 'ginang', 'nga', 'taga-barangay', 'Bankal', 'ang', 'mi-post', 'sa', 'iyang', 'kasinatian', 'sa', 'Pasko', 'diin', 'nipadayag', 'sa', 'iyang', 'k... | [0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,178 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nanawagan', 'si', 'Carreon', 'sa', 'kapulisan', 'nga', 'palapdan', 'pa', 'ang', 'ilang', 'monitoring', 'ug', 'supervision', 'alang', 'sa', 'mas', 'luwas', 'nga', 'kasaulogan', ',', 'ila... | [0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,179 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Bisan', 'pa', 'sa', 'mao', 'nga', 'mga', 'hitabo', ',', 'kapulisan', 'sa', 'Central', 'Visayas', 'mihulagway', 'nga', 'malinawon', 'ug', 'hapsay', 'ang', 'pagsaulog', 'sa', 'Pasko', 'ka... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,180 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Ang', 'traffic', 'enforcers', 'sa', 'Talisay', 'City', 'ug', 'lungsod', 'sa', 'Minglanilla', 'nanghimakak', 'sa', 'mga', 'alegasyon', 'sa', 'social', 'media', 'nga', 'wa', 'silay', 'gih... | [0, 0, 0, 0, 5, 6, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 6, 0, 0, 0] | cebuaner |
5,181 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Labing', 'minos', '10', 'ka', 'oras', 'nga', 'wa', 'hapit', 'makairog', 'ang', 'trapiko', 'niadtong', 'Sabado', ',', 'gikan', 'sa', 'hapon', ',', 'hangtod', 'na', 'nianang', 'gabii', '.... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,182 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gibasol', 'ni', 'de', 'la', 'Peña', 'ang', 'upat', 'ka', 'mga', 'aksidente', 'sa', 'sakyanan', 'nga', 'gitaho', 'nga', 'nahitabo', 'sa', 'samang', 'oras', 'sa', 'dapit', 'ubos', 'sa', '... | [0, 0, 1, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0] | cebuaner |
5,183 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Matod', 'ni', 'de', 'la', 'Peña', 'nga', 'ilang', 'gitawag', 'ang', 'ilang', 'mga', 'kauban', 'sa', 'Minglanilla', ',', 'apan', 'way', 'bisan', 'usa', 'nga', 'nanubag', '.'] Use the fol... | [0, 0, 1, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,184 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Tungod', 'niini', ',', 'nanawag', 'sila', 'sa', 'Minglanilla', 'Police', 'Station', 'aron', 'magpatabang', '.'] Use the following schema: 1 = B-WIS: Beginning of a tourism-related entit... | [0, 0, 0, 0, 0, 0, 3, 4, 4, 0, 0, 0] | cebuaner |
5,185 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Samtang', 'di', 'tinuod', 'nga', 'way', 'traffic', 'enforcers', 'sa', 'lungsod', 'sa', 'Minglanilla', 'niadtong', 'Sabado', '.'] Use the following schema: 1 = B-WIS: Beginning of a tour... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0] | cebuaner |
5,186 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Mga', 'opisyal', 'sa', 'lungsod', 'nakadawat', 'og', 'mga', 'pagsaway', ',', 'labina', 'sa', 'social', 'media', ',', 'human', 'natanggong', 'sa', 'karsada', '.'] Use the following schem... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,187 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Ang', 'kahuot', 'sa', 'trapiko', 'naggikan', 'pa', 'sa', 'dakbayan', 'sa', 'Talisay', 'lahos', 'na', 'sa', 'lungsod', 'sa', 'Minglanilla', '.'] Use the following schema: 1 = B-WIS: Begi... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 5, 0] | cebuaner |
5,188 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Si', 'municipal', 'administrator', 'Concordio', 'Mejias', 'niingon', 'nga', 'siya', 'mismo', 'natanggong', 'usab', 'sa', 'trapiko', 'niadtong', 'higayona', 'og', 'duha', 'usab', 'ka', '... | [0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,189 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Matod', 'niya', 'nga', 'dili', 'lang', 'ang', 'lungsod', 'sa', 'Minglanilla', 'ang', 'grabeng', 'trapik', ',', 'apil', 'na', 'usab', 'ang', 'Cebu', 'city', ',', 'Talisay', ',', 'Naga', ... | [0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 5, 0, 5, 0, 5, 6, 0, 0, 0, 0, 5, 0] | cebuaner |
5,190 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Iya', 'usab', 'nga', 'gihimakak', 'nga', 'nag-party', 'ang', 'mga', 'traffic', 'enforcers', 'sa', 'maong', 'adlaw', ',', 'hinungdan', 'nga', 'walay', 'makita', 'nga', 'enforcers', '.'] ... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,191 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nagkanayon', 'si', 'Mejias', 'nga', 'igo', 'lang', 'silang', 'naniudto', 'ug', 'human', 'sa', 'paniudto', ',', 'mibalik', 'ra', 'usab', 'sila', 'dayon', 'sa', 'ilang', 'puwesto', '.'] U... | [0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,192 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Usa', 'ka', 'taxi', 'driver', 'nga', 'nahinabi', 'sa', 'Superbalita', 'Cebu', 'nibutyag', 'nga', 'mga', 'alas', '3', 'sa', 'hapon', 'siyang', 'nihatod', 'sa', 'iyang', 'pasahero', 'sa',... | [0, 0, 0, 0, 0, 0, 0, 3, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 5, 6, 6, 6, 0] | cebuaner |
5,193 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Niabot', 'sila', 'sa', 'Naga', 'mga', 'alas', '8', 'na', 'hapit', 'sa', 'gabii', 'tungod', 'sa', 'kahuot', 'sa', 'trapiko', '.'] Use the following schema: 1 = B-WIS: Beginning of a tour... | [0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,194 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Niabot', 'siya', 'sa', 'Cebu', 'City', 'mga', 'alas', '11', 'na', 'pasado', 'sa', 'gabii', '.'] Use the following schema: 1 = B-WIS: Beginning of a tourism-related entity; 2 = I-WIS: Co... | [0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,195 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Alkanse', 'tong', 'biyahia', 'kay', 'P700', 'kapin', 'rang', 'patak', '.'] Use the following schema: 1 = B-WIS: Beginning of a tourism-related entity; 2 = I-WIS: Continuation of a touri... | [0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,196 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Tungod', 'sa', 'gilantawan', 'nga', 'tingsakay', 'sa', 'paghinangat', 'sa', 'Bag-ong', 'Tuig', ',', 'ang', 'mga', 'tinugyanan', 'sa', 'Cebu', 'South', 'Bus', 'Terminal', 'nanawagan', 'u... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,197 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Usa', 'sa', 'nakitang', 'hinungdan', 'nganong', 'mangatanggong', 'ang', 'mga', 'pasahero', 'diha', 'sa', 'terminal', 'mao', 'ang', 'kalangay', 'usab', 'sa', 'pagbalik', 'sa', 'mga', 'bu... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
5,198 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gikan', 'Disyembre', '22', 'hangtud', 'Disyembre', '25', ',', 'anaa', 'sa', 'kapin', '131,000', 'ka', 'mga', 'pasahero', 'ang', 'gibana-banang', 'nidagsa', 'sa', 'CSBT', '.'] Use the fo... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0] | cebuaner |
5,199 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Kini', 'base', 'usab', 'sa', 'natala', 'nga', 'mga', 'bus', 'trips', 'nga', 'niabot', 'og', '592', 'niadtong', 'Biyernes', ',', '579', 'niadtong', 'Sabado', ',', '655', 'niadtong', 'Dom... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
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