Unnamed: 0 int64 0 335k | question stringlengths 17 26.8k | answer stringlengths 1 7.13k | user_parent stringclasses 29
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4,200 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['GRADE', '3', 'STUDENT', 'SA', 'BACONG', ',', 'GIINGONG', 'HAPIT', 'MA-KIDNAP', 'Gibutyag', 'sa', 'Bacong', 'Central', 'School', '(', 'BCS', ')', 'nga', 'hapit', 'kuno', 'madagit', 'ang'... | [0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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 |
4,201 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gibalhin', 'na', 'sa', 'Negros', 'Oriental', 'Provincial', 'Capitol', 'ning', 'dakbayan', 'ang', 'patayng', 'lawas', 'ni', 'Gov.', 'Roel', 'Degamo.', 'Gitakdang', 'ihaya', 'kini', 'sa',... | [0, 0, 0, 5, 6, 6, 6, 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, 5, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0] | cebuaner |
4,202 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['MS.', 'NEGROS', 'ORIENTAL', 'ANGEL', 'SAGA', ',', 'NANAWAGAN', 'OG', 'HUSTISYA', 'HUMAN', 'ANG', 'PAGPATAY', 'KANG', 'GOV.', 'DEGAMO', 'Gipanawagan', 'ni', 'Miss', 'Negros', 'Oriental',... | [3, 4, 4, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 3, 4, 4, 0, 1, 2, 0, 0, 0, 0, 0, 5, 6, 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, 0] | cebuaner |
4,203 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Mao', 'kini', 'ang', 'usa', 'ka', '"', 'colorized', 'photo', '"', 'sa', 'mga', 'lokal', 'kinsa', 'nag-posing', 'samtang', 'nagsaulog', 'sa', 'pagtapos', 'sa', 'World', 'War', 'II.', 'Na... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 6, 0, 0, 0] | cebuaner |
4,204 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['MESSENGER', 'APP', ',', 'IBALIK', 'NA', 'PAG-USA', 'SA', 'FACEBOOK', 'Gikatahong', 'i-usa', 'na', 'pagbalik', 'ang', 'Messenger', 'app', 'sa', 'Facebook', 'human', 'kini', 'gianunsyo', ... | [7, 8, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 7, 8, 0, 7, 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, 3, 4, 0, 3, 4, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 7, 0] | cebuaner |
4,205 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Daw', 'wala', 'matandog', 'ang', 'opisina', 'ni', 'Gov.', 'Roel', 'Degamo', 'sa', 'Kapitolyo', 'sa', 'Negros', 'Oriental', ',', 'pipila', 'ka', 'adlaw', 'human', 'siya', 'gipusil', 'pat... | [0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 5, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,206 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Napuno', 'og', 'mga', 'mensahe', 'sa', 'pagbangutan', 'ug', 'pagduyog', 'ang', 'dedication', 'wall', 'alang', 'kang', 'Gov.', 'Roel', 'Degamo', 'sa', 'gawas', 'sa', 'Kapitolyo', 'karong... | [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, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,207 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Mga', 'dugang', 'hulagway', 'sa', 'pagbisita', 'ni', 'Presidente', 'Ferdinand', 'Marcos', 'Jr.', 'sa', 'haya', 'ni', 'Gov.', 'Roel', 'Degamo', 'sa', 'Barangay', 'Junob', ',', 'Dumaguete... | [0, 0, 0, 0, 0, 0, 0, 1, 2, 2, 0, 0, 0, 0, 1, 2, 0, 5, 6, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 5, 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, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,208 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Giduyogan', 'ni', 'Presidente', 'Ferdinand', 'Marcos', 'Jr.', 'ang', 'nagbangotang', 'biyuda', 'ni', 'Gov.', 'Roel', 'Degamo', 'nga', 'si', 'Pamplona', 'Mayor', 'Janice', 'Degamo', 'sa'... | [0, 0, 0, 1, 2, 2, 0, 0, 0, 0, 0, 1, 2, 0, 0, 5, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,209 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nibisita', 'karong', 'gabii', ',', 'Mar.', '8', ',', '2023', ',', 'si', 'Presidente', 'Ferdinand', 'Marcos', 'Jr.', 'sa', 'haya', 'sa', 'iyang', 'suod', 'nga', 'kaalyado', 'nga', 'si', ... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 5, 6, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,210 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['DOJ', ':', 'MASTERMIND', 'SA', 'PAGPATAY', 'KANG', 'GOV.', 'DEGAMO', ',', 'HAPIT', 'NA', 'MATINO', 'Gibutyag', 'ni', 'Justice', 'Secretary', 'Jesus', 'Crispin', 'Remulla', 'karong', 'Mi... | [3, 0, 0, 0, 0, 0, 0, 1, 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, 0, 0, 0, 0, 0, 0, 1, 2, 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, 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, 0, 0, 0, 0, 0, 1... | cebuaner |
4,211 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['2', 'KA', 'SUSPEK', 'SA', 'PAGPATAY', 'KANG', 'GOV.', 'DEGAMO', ',', 'GIPAUBOS', 'SA', 'WITNESS', 'PROTECTION', 'PROGRAM', 'Gipailalom', 'sa', 'witness', 'protection', 'program', 'ang',... | [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, 3, 4, 4, 4, 0, 0, 0, 0, 0, 5, 6, 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, 1, 2, 2, 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, 5, 6, 6, 0, 1... | cebuaner |
4,212 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nibisita', 'sab', 'sa', 'haya', 'ni', 'Gov.', 'Roel', 'Degamo', 'sila', 'si', 'Sen.', 'Cynthia', 'Villar', 'ug', 'Sen.', 'Ronald', '“Bato”', 'Dela', 'Rosa', 'karong', 'gabii', ',', 'Mar... | [0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 0, 0, 1, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,213 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gi-relieve', 'ug', 'gi-reassign', 'ang', 'tibuok', 'pwersa', 'sa', 'kapulisan', 'sa', 'Bayawan', 'City', 'ngadto', 'sa', 'Camp', 'Francisco', 'Fernandez', 'Jr.', 'sa', 'Agan-an', 'sa', ... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 5, 6, 6, 6, 0, 5, 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, 1, 2, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,214 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nagbangga', 'ang', 'Maayo', 'Shipping', 'Roro', 'ug', 'Petro', 'Helen', 'Tanker', 'sa', 'Tampi', 'Port', ',', 'San', 'Jose', 'sa', 'Negros', 'Oriental', 'mga', '9:30', 'sa', 'buntag', '... | [0, 0, 7, 8, 8, 0, 7, 8, 8, 0, 5, 6, 6, 6, 6, 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] | cebuaner |
4,215 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nibisita', 'ang', 'lima', 'pa', 'ka', 'senador', 'sa', 'haya', 'ni', 'Gov.', 'Roel', 'Degamo', 'sa', 'Junob', ',', 'Dumaguete', 'City', 'karong', 'adlawa', '(', 'Mar.', '7', ',', '2023'... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 5, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 2, 0, 0, 1, 2, 0, 0, 1, 2, 0, 0, 1, 2, 0, 0, 0, 1, 2, 0] | cebuaner |
4,216 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['NEGROS', 'ISLAND', 'REGION', ',', 'GIAPRUBAHAN', 'NA', 'SA', 'KAMARA', 'Giaprobahan', 'sa', 'House', 'of', 'Representatives', 'niadtong', 'Lunes', 'ang', 'ikatulo', 'ug', 'katapusan', '... | [5, 6, 6, 0, 0, 0, 0, 3, 0, 0, 3, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 5, 6, 0, 0, 5, 0, 0, 0, 0, 5, 6, 0, 0, 0, 5, 6, 6, 0, 0, 3, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4... | cebuaner |
4,217 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Upat', 'ka', 'senador', 'ang', 'nibisita', 'sa', 'haya', 'ni', 'Governor', 'Roel', 'Degamo', 'sa', 'Junob', ',', 'Dumaguete', 'City', 'karong', 'gabii', ',', 'Mar.', '6', ',', '2023.', ... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 5, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 2, 0, 0, 1, 2, 0, 0, 0, 1, 2, 0] | cebuaner |
4,218 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['NEGOR', '3RD', 'DISTRICT', 'REP.', 'ARNIE', 'TEVES', ',', 'GIKLARO', 'NGA', 'WALA', 'SIYA'Y', 'KALAMBIGITAN', 'SA', 'KAMATAYON', 'NI', 'KANHI', 'GOV.', 'DEGAMO', 'Nipagawas', 'og', 'vid... | [5, 6, 6, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 5, 6, 6, 6, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 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, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1... | cebuaner |
4,219 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['HAYA', 'NI', 'KANHI', 'GOV.', 'DEGAMO', ',', 'IBALHIN', 'SA', 'PROVINCIAL', 'CAPITOL', 'KARONG', 'MAR.', '8', 'Ibalhin', 'ang', 'haya', 'ni', 'kanhi', 'Governor', 'Roel', 'Degamo', 'sa'... | [0, 0, 0, 0, 1, 0, 0, 0, 3, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,220 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['MGA', 'SUSPEK', 'SA', 'PAGPATAY', 'NI', 'DEGAMO', ',', 'GIPASAKAAN', 'NA', 'OG', 'MGA', 'KASO', 'SA', 'KAPULISAN', 'Gipasaka', 'na', 'sa', 'kapulisan', 'ang', 'daghang', 'mga', 'kaso', ... | [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, 0, 0, 0, 0, 5, 6, 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, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 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... | cebuaner |
4,221 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Na-recover', 'sa', 'mga', 'awtoridad', 'ganinang', 'kaadlawon', '(', 'Mar.', '5', ',', '2023', ')', 'ang', 'mga', 'taas', 'nga', 'armas', 'nga', 'giingong', 'gigamit', 'sa', 'pagpusil',... | [0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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 |
4,222 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Duna', 'nay', 'bag-ong', 'gobernador', 'ang', 'Negros', 'Oriental.', 'Kini', 'human', 'nanumpa', 'si', 'Vice', 'Governor', 'Carlo', 'Jorge', 'Joan', '“Guido”', 'Reyes', 'isip', 'goberna... | [0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 1, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 3, 0, 1, 2, 2, 0] | cebuaner |
4,223 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gikondenar', 'ni', 'Presidente', 'Ferdinand', 'Marcos', 'Jr.', 'ang', 'pagpatay', 'ang', 'iyang', 'kaalyado', 'nga', 'si', 'Gov.', 'Roel', 'Degamo.', 'Sa', 'usa', 'ka', 'Facebook', 'pos... | [0, 0, 0, 1, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,224 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nitaliwan', 'na', 'si', 'Gov.', 'Roel', 'Degamo', 'human', 'siya', 'gipusil', 'sulod', 'sa', 'iyang', 'panimalay', 'sa', 'Barangay', 'Nuebe', 'sa', 'lungsod', 'sa', 'Pamplona', 'ganinan... | [0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 5, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,225 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Giimbestigaran', 'karon', 'sa', 'kapulisan', 'ang', 'pagpusil', 'kang', 'Gov.', 'Roel', 'Degamo', 'sulod', 'sa', 'compound', 'niini', 'sa', 'Barangay', 'Nuebe', 'sa', 'lungsod', 'sa', '... | [0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 5, 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] | cebuaner |
4,226 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['BATA', 'NGA', 'NAGDULA', 'RA', 'OG', 'TAGUANAY', ',', 'NAABOT', 'SA', 'LAING', 'NASUD', 'HUMAN', 'NAGTAGO', 'SA', 'CONTAINER', 'VAN', 'Nakauli', 'na', 'sa', 'iyang', 'pamilya', 'ang', '... | [0, 0, 0, 0, 0, 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, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 7, 0, 0, 1, 2, 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, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,227 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['TUBIG', 'SA', 'SAN', 'CARLOS', ',', 'NEGROS', 'OCC.', ',', 'NAGPOSITIBO', 'SA', 'COLIFORM', 'Nagpositibo', 'sa', 'coliform', 'ang', 'tubig', 'sa', 'San', 'Carlos', 'City', 'sa', 'Negros... | [0, 0, 5, 6, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 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] | cebuaner |
4,228 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gikilig', 'ang', 'mga', 'netizen', 'sa', 'dihang', 'nasayran', 'nila', 'nga', 'dunay', 'mag-uyab', 'nga', 'parehong', 'top', 'passer', 'sa', 'bag-o', 'lang', 'nahuman', 'nga', 'Mechanic... | [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, 0, 0, 0, 0, 0, 0, 1, 2, 2, 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, 1, 0, 0, 0, 7, 8, 0, 3, 4, 4, 0, 0, 0, 0] | cebuaner |
4,229 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['CEBU', 'PACIFIC', ',', 'NAGTANYAG', 'OG', 'P199', 'NGA', 'PROMO', 'FARES', 'Nagtanyag', 'ang', 'Cebu', 'Pacific', 'og', 'P199', 'nga', 'promotional', 'one-way', 'base', 'fares', 'subay'... | [3, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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 |
4,230 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['2', 'KA', 'BATA', 'PATAY', ',', '469', 'UBAN', 'PA', 'NAIGO', 'SA', 'AMOEBIASIS', 'SA', 'SAN', 'CARLOS', 'CITY', ',', 'NEGROS', 'OCC.', 'Nagdeklarar', 'og', 'state', 'of', 'health', 'em... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,231 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gitay-og', 'na', 'sab', 'og', 'laing', 'magnitude', '4.8', 'nga', 'linog', 'ang', 'habagatang', 'bahin', 'sa', 'Negros', 'Oriental', 'karong', 'gabii', ',', 'Mar.', '2', ',', '2023.', '... | [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, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 6, 0, 5, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 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... | cebuaner |
4,232 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['DUMAGUETE', ',', 'VALENCIA', ',', 'UG', 'DAUIN', ',', 'GINGANLAN', 'NGA', 'TOP', '3', 'NGA', 'PABORITONG', 'ADTUON', 'SA', 'MGA', 'TURISTA', 'SA', 'NEGROS', 'ORIENTAL', 'Usa', 'ang', 'l... | [5, 0, 5, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0... | cebuaner |
4,233 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['TAIWAN', ',', 'MAGHATAG', 'OG', 'P9,000', 'ALLOWANCE', 'ALANG', 'SA', 'MGA', 'TURISTA', 'NGA', 'MOBISITA', 'SA', 'NASUD', 'Giaprobahan', 'sa', 'gobyerno', 'sa', 'Taiwan', 'niadtong', 'F... | [5, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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 |
4,234 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['PILGRIM', 'RELICS', 'NI', 'ST.', 'THERESE', ',', 'MOBISITA', 'PAG-USAB', 'SA', 'NEGROS', 'ORIENTAL', 'Mobisita', 'pag-usab', 'sa', 'Diocese', 'sa', 'Dumaguete', 'ang', 'Pilgrim', 'Relic... | [0, 0, 0, 0, 1, 0, 0, 0, 0, 5, 6, 0, 0, 0, 5, 0, 5, 0, 0, 0, 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, 5, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,235 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['HABAGATANG', 'BAHIN', 'SA', 'NEGROS', 'ORIENTAL', 'GITAY-OG', 'SA', 'NAGSAGUNSON', 'NGA', 'LINOG', 'Gitay-og', 'sa', 'serye', 'sa', 'mga', 'linog', 'ang', 'pipila', 'ka', 'bahin', 'sa',... | [0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 3, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 5, 6, 0, 5, 6, 6, 0, 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, 0, 0, 0, 0... | cebuaner |
4,236 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['AMLAN', 'ZOO', ',', 'MAKADAWAT', 'OG', 'HINABANG', 'GIKAN', 'SA', 'PROVINCIAL', 'GOV'T', 'ALANG', 'SA', 'KAHIMSOG', 'SA', 'MGA', 'HAYOP', 'NIINI', 'Nihangyo', 'ang', 'presidente', 'sa',... | [3, 4, 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, 4, 0, 0, 1, 2, 0, 0, 0, 5, 0, 1, 2, 2, 0, 0, 0, 1, 2, 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, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 1... | cebuaner |
4,237 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['ULO', 'SA', 'GI-CHOP-CHOP', 'NGA', 'MODEL', 'SA', 'HONG', 'KONG', ',', 'NAKIT-AN', 'NA', 'Nakit-an', 'na', 'ang', 'ulo', 'sa', 'gipatay', 'nga', 'modelo', 'sa', 'Hong', 'Kong', 'nga', '... | [0, 0, 0, 0, 0, 0, 5, 6, 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, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,238 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['KANHI', 'CAFGU', ',', 'GIPUSIL', 'PATAY', 'SA', 'AYUNGON', 'Usa', 'ka', 'kanhi', 'Civilian', 'Armed', 'Forces', 'Geographical', 'Unit', '(', 'CAFGU', ')', 'ang', 'gipusil', 'patay', 'sa... | [0, 3, 0, 0, 0, 0, 5, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 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, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 6, 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... | cebuaner |
4,239 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['500,000', 'ka', 'mga', 'air', 'tickets', 'ang', 'ihatag', 'sa', 'Cathay', 'Pacific', 'isip', 'suporta', 'sa', '"', 'Hello', 'Hong', 'Kong', '"', 'campaign', 'sa', 'Tourism', 'Board', 's... | [0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 3, 4, 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, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0] | cebuaner |
4,240 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Pipila', 'ka', 'mga', 'tawo', 'ang', 'nagtinabangay', 'aron', 'makahatag', 'og', 'donasyon', 'alang', 'sa', 'mga', 'hayop', 'sa', 'Amlan', 'Zoo.', 'Gipangunahan', 'ang', 'maong', 'kalih... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 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] | cebuaner |
4,241 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['FEB.', '25', ',', '2023', ',', 'DILI', 'NA', 'HOLIDAY', 'USA', 'NA', 'LANG', 'KA', 'WORKING', 'DAY', '—MALACAÑANG', 'Dili', 'na', 'holiday', 'ang', 'February', '25', 'human', 'kini', 'g... | [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, 1, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0] | cebuaner |
4,242 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Usa', 'ka', 'amahan', 'ang', 'grabe', 'ang', 'kaguol', 'ug', 'naghilak', 'sa', 'dihang', 'makita', 'niya', 'ang', 'patay', 'nga', 'lawas', 'sa', 'iyang', 'anak', 'nga', 'nakatunob', 'og... | [0, 0, 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, 6, 6, 0, 5, 6, 0] | cebuaner |
4,243 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Walay', 'klase', 'ug', 'walay', 'trabaho', 'karong', 'Biyernes', ',', 'Pebrero', '24', ',', '2023', ',', 'human', 'kini', 'gideklarar', 'ni', 'Presidente', 'Ferdinand', 'Marcos', 'Jr.',... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 8, 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] | cebuaner |
4,244 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Mao', 'kini', 'ang', 'hulagway', 'sa', ''colorized', 'photo', ''', 'sa', 'tinuig', 'nga', 'Founder', ''s', 'Day', 'parade', 'sa', 'Central', 'Visayas', 'Polytechnic', 'College', '(', 'C... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0, 0, 3, 4, 4, 4, 4, 4, 4, 0, 5, 6, 0, 0, 0, 5, 0, 0, 0, 3, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 0] | cebuaner |
4,245 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Giawhag', 'ang', 'tanan', 'ilabi', 'na', 'kadtong', 'mga', 'naggamit', 'pa', 'og', 'analog', 'cellphone', 'o', 'dili', 'touch', 'screen', 'nga', 'mobisita', 'sa', 'lobby', 'sa', 'Provin... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,246 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gi-share', 'sa', 'Pagasa', 'ang', 'hulagway', 'sa', ''waxing', 'crescent', 'moon', ''', 'uban', 'sa', 'Venus', 'ug', 'Jupiter', 'niadtong', 'Miyerkules', ',', 'Feb.', '22.', 'Gianunsyo'... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,247 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['CAMANJAC-MAGATAS', 'SECTION', 'SA', 'METRO', 'DUMAGUETE', 'DIVERSION', 'ROAD', ',', 'MASUMPAYAN', 'NA', 'Gihawanan', 'niadtong', 'Sabado', 'ang', 'bahin', 'sa', 'Camanjac-Magatas', 'sa'... | [5, 0, 0, 5, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 6, 6, 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, 5, 6, 6, 6, 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, 0, 0, 0, 0, 0] | cebuaner |
4,248 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['3', 'KA', 'BATA', 'GIPANGANAK', 'SA', 'PAREHANG', 'PETSA', 'KADA', '3', 'KA', 'TUIG', 'Usa', 'ka', 'netizen', 'gikan', 'sa', 'Laguna', 'ang', 'nag-share', 'sa', 'Facebook', 'sa', 'iyang... | [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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,249 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['META', ',', 'GIANUNSYO', 'ANG', 'USA', 'KA', '"', 'PAID', 'SUBSCRIPTION', 'SERVICE', '"', 'ALANG', 'SA', 'FACEBOOK', ',', 'INSTAGRAM', 'Gipaila', 'sa', 'Meta', 'CEO', 'nga', 'si', 'Mark... | [3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 7, 0, 0, 3, 0, 0, 0, 1, 2, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 5, 0, 5, 6, 0, 0] | cebuaner |
4,250 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Usa', 'ka', 'netizen', 'ang', 'nag-share', 'og', 'video', 'sa', 'social', 'media', 'sa', 'kahimtang', 'sa', 'mga', 'hayop', 'sa', 'Amlan', 'Dreamland', 'Zoo.', 'Sumala', 'pa', 'ni', 'Rh... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 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, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,251 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['PULIS', 'UG', 'KAWANI', 'SA', 'BJMP', ',', 'GIPUSIL', 'PATAY', 'SA', 'BAYAWAN', 'CITY', 'SA', 'MISMONG', 'ADLAW', 'SA', 'PISTA', 'Usa', 'ka', 'pulis', 'ug', 'usa', 'ka', 'kawani', 'sa',... | [0, 0, 0, 0, 3, 0, 0, 0, 0, 5, 6, 0, 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, 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, 1, 2, 2, 0, 0, 0, 0, 3, 4, 4, 4, 0, 0, 0, 1, 2, 0, 0, 0, 3, 0, 0, 0, 5, 6, 6, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,252 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['2', 'KA', 'MANGINGISDA', ',', 'NAKADAWAT', 'OG', 'MOTORIZED', 'BOATS', 'ISIP', 'SUPORTA', 'SA', 'ILANG', 'PANGINABUHI', 'Duha', 'ka', '7.5', 'HP', 'nga', 'motorized', 'boats', 'ang', 'g... | [0, 0, 0, 0, 0, 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, 2, 0, 1, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 2, 2, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 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, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 0, 5, 6, 0, 1... | cebuaner |
4,253 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gi-share', 'sa', 'NASA', 'ang', '"', 'selfie', '"', 'niini', 'nga', 'gikuha', 'sa', 'Perseverance', 'rover', 'niadtong', 'Jan.', '22', ',', 'diin', 'ilang', 'gi-feature', 'ang', 'hazy',... | [0, 0, 3, 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, 0, 0, 0, 0, 0, 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 |
4,254 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['MAULANON', 'NGA', 'PANAHON', ',', 'MASINATI', 'SA', 'VISAYAS', 'UG', 'MINDANAO', 'TUNGOD', 'SA', 'LPA', 'Makasinati', 'og', 'maulanon', 'nga', 'panahon', 'ang', 'pipila', 'ka', 'mga', '... | [0, 0, 0, 0, 0, 0, 5, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 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, 0, 5, 6, 6, 6, 6, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 5, 6, 0, 5... | cebuaner |
4,255 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['BES', ',', 'UGMA', 'NA', 'ANG', 'LAST', 'WEEKLY', 'DRAW', '!', 'I-atak', 'na', 'ang', 'inyong', 'tanang', 'entries', 'karong', 'adlawa', 'before', '5pm', 'tungod', 'karong', 'Sabado', '... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0] | cebuaner |
4,256 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['GOOD', 'NEWS', 'ALANG', 'SA', 'MGA', 'PINOY', 'SA', 'GAWAS', '!', 'Gitugutan', 'sa', 'Bangko', 'Sentral', 'ng', 'Pilipinas', '(', 'BSP', ')', 'ang', 'paggamit', 'sa', 'mga', 'Pilipino',... | [0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 7, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 0, 5, 0, 0, 5, 0, 0, 0, 0, 7, 0, 0, 7, 0, 0] | cebuaner |
4,257 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Usa', 'ka', 'netizen', 'ang', 'nag-share', 'sa', 'hulagway', 'sa', 'usa', 'ka', 'cloud', 'o', 'panganod', 'diin', 'mura', 'kini'g', 'nag-inusara', 'sa', 'kalangitan', '.'] Use the follo... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,258 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['BES', ',', '2', 'DAYS', 'NALANG', '!', 'I-atak', 'na', 'ang', 'inyong', 'tanang', 'entries', 'karong', 'semanaha', 'tungod', 'karong', 'Sabado', ',', 'Feb.', '18', ',', 'mao', 'ang', '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, 7, 8, 8, 8, 8, 0, 0] | cebuaner |
4,259 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['BES', ',', 'BASIN', 'IKAW', 'NA', 'ANG', 'MOSUNOD', 'NGA', 'MILYONARYO', '!', 'I-atak', 'na', 'ang', 'inyong', 'tanang', 'entries', 'karong', 'semanaha', 'tungod', 'karong', 'Sabado', '... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0] | cebuaner |
4,260 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['I-atak', 'na', 'ang', 'inyong', 'tanang', 'entries', 'karong', 'semanaha', 'tungod', 'karong', 'Sabado', ',', 'Feb.', '18', ',', 'mao', 'ang', '8th', 'ug', 'last', 'weekly', 'draw', 'sa... | [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, 0, 0] | cebuaner |
4,261 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Moabot', 'na', 'sa', 'dul-an', '40,000', 'ang', 'mga', 'kompirmadong', 'namatay', 'tungod', 'sa', 'kusog', 'nga', 'magnitude', '7.8', 'nga', 'linog', 'nga', 'nitay-og', 'sa', 'Turkey', ... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 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] | cebuaner |
4,262 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['BES', ',', 'APIL', 'NA', 'KAY', '3', 'DAYS', 'NA', 'LANG', '!', 'Mao', 'kini', 'ang', 'mga', 'Proof-of-Purchase', '(', 'POP', ')', 'alang', 'sa', 'imong', 'entries', 'sa', 'Bagong', 'Ta... | [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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,263 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Karong', 'adlawa', 'mao', 'ang', 'ika-99', 'nga', 'birthday', 'ni', 'kanhi', 'Senate', 'President', 'ug', 'kasamtangang', 'chief', 'presidential', 'legal', 'counsel', 'nga', 'si', 'Juan... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 3, 4, 4, 0] | cebuaner |
4,264 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['ESKWELAHAN', 'SA', 'DIPOLOG', ',', 'NAGSUSPENSO', 'SA', 'KLASE', ',', 'TRABAHO', 'TUNGOD', 'SA', 'VALENTINE', ''S', 'DAY', 'Mao', 'kana', 'ang', 'gianunsyo', 'sa', 'usa', 'ka', 'pribado... | [0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 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, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 5, 0, 5, 0] | cebuaner |
4,265 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['I-atak', 'na', 'ang', 'inyong', 'tanang', 'entries', 'karong', 'semanaha', 'tungod', 'karong', 'Sabado', ',', 'Feb.', '18', ',', 'mao', 'ang', '8th', 'ug', 'last', 'weekly', 'draw', 'sa... | [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, 0, 0] | cebuaner |
4,266 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['BROKEN', 'HEART', ',', 'POSIBLENG', 'MAKAMATAY', 'MATUD', 'SA', 'MGA', 'EKSPERTO', 'Gipasabot', 'sa', 'usa', 'ka', 'doctor', 'nga', 'tinuod', 'ang', '"', 'broken', 'heart', 'syndrome', ... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 3, 4, 4, 4, 4, 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, 0, 0, 0, 0, 0, 0, 0, 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 |
4,267 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['CUDDLE', 'WEATHER', 'KARONG', 'VALENTINE', ''S', 'DAY', 'Magdala', 'og', 'katag-katag', 'nga', 'pag-ulan', 'ug', 'thunderstorms', 'ang', 'trough', 'sa', 'low', 'pressure', 'area', '(', ... | [0, 0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 0, 7, 8, 8, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 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, 5, 6, 6, 6, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6... | cebuaner |
4,268 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['BES', ',', 'APIL', 'NA', 'KAY', '4', 'DAYS', 'NALANG', '!', 'Mao', 'kini', 'ang', 'mga', 'pamaagi', 'sa', 'pag-apil', 'sa', 'Bagong', 'Taon', ',', 'Bagong', 'Milyon', '2023', '!', 'Join... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 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] | cebuaner |
4,269 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Moabot', 'na', 'sa', 'kapin', '35,000', 'ang', 'kompirmadong', 'namatay', 'sa', 'kusog', 'nga', 'magnitude', '7.8', 'nga', 'linog', 'nga', 'nitay-og', 'sa', 'Turkey', 'ug', 'Syria.', 'M... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 0, 0, 0, 0, 0, 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, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,270 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['AIRASIA', 'NAGTANYAG', 'OG', 'P1', 'NGA', 'PLITE', 'ALANG', 'SA', 'GIPAABOT', 'NGA', 'SUMMER', 'SEASON', 'Nagtanyag', 'ang', 'AirAsia', 'og', 'P1', 'fare', 'promo', 'alang', 'sa', 'gipa... | [3, 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, 7, 8, 8, 0, 7, 0, 7, 0, 7, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 7, 0, 7, 8, 0, 7, 0, 7, 0, 7, 0, 7, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,271 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Mga', 'hulagway', 'sa', 'mga', 'estudyante', 'sa', 'Negros', 'Oriental', 'State', 'University', 'alang', 'sa', 'unang', 'adlaw', 'sa', 'klase', 'sa', 'second', 'semester', 'sa', 'academ... | [0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,272 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['I-atak', 'na', 'ang', 'inyong', 'tanang', 'entries', 'karong', 'semanaha', 'tungod', 'karong', 'Sabado', ',', 'Feb.', '18', ',', 'mao', 'ang', '8th', 'ug', 'last', 'weekly', 'draw', 'sa... | [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, 0, 0] | cebuaner |
4,273 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nagpagawas', 'ang', 'National', 'Wages', 'and', 'Productivity', 'Commission', 'og', 'price', 'guide', 'karong', 'adlawa', ',', 'Feb.10', ',', 'alang', 'sa', 'mga', 'ganahang', 'mag-side... | [0, 0, 3, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0] | cebuaner |
4,274 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['MGA', 'NAKALAS', 'SA', 'KUSOG', 'NGA', 'LINOG', 'SA', 'TURKEY', 'UG', 'SYRIA', ',', 'MOABOT', 'NA', 'SA', 'KAPIN', '21,000', 'Nisaka', 'na', 'ngadto', 'sa', 'kapin', '21,000', 'ka', 'ta... | [0, 0, 0, 0, 0, 0, 0, 5, 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, 0, 5, 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, 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 |
4,275 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Usa', 'ka', 'patay'ng', 'lawas', 'sa', 'babayi', 'ang', 'nakit-an', 'sa', 'baybayon', 'sa', 'Sitio', 'Capagongan', ',', 'Barangay', 'Basak', 'sa', 'Zamboanguita', 'mga', 'alas-12', 'sa'... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 6, 6, 0, 5, 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, 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, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,276 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['INDIAN', 'GOV'T', ',', 'GIHANGYO', 'ANG', 'KATAWHAN', 'NGA', 'HALUGON', 'ANG', 'MGA', 'BAKA', 'SA', 'VALENTINE', ''S', 'DAY', 'Gihangyo', 'sa', 'Animal', 'Welfare', 'Board', 'sa', 'Indi... | [7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0, 0, 3, 4, 4, 0, 5, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0, 0, 0, 0, 7, 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, 0, 7, 0, 0, 0, 7, 0, 0] | cebuaner |
4,277 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['2', 'PINOY', 'SA', 'TURKEY', ',', 'KOMPIRMADONG', 'PATAY', 'TUNGOD', 'SA', 'KUSOG', 'NGA', 'LINOG', 'NIADTONG', 'LUNES', 'Duha', 'ka', 'mga', 'Pilipino', 'ang', 'kompirmadong', 'namatay... | [0, 7, 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, 5, 0, 0, 0, 0, 0, 3, 0, 5, 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, 7, 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, 0, 0, 5, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,278 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['3', 'KA', 'BRAND', 'NEW', 'MINI', 'DUMP', 'TRUCKS', ',', 'GIPALIT', 'ARON', 'MAKATABANG', 'PAGPALAMBO', 'SA', 'PAGKOLEKTA', 'SA', 'BASURA', 'Tulo', 'ka', 'mga', 'brand', 'new', 'nga', '... | [0, 0, 0, 0, 0, 0, 0, 0, 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, 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, 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... | cebuaner |
4,279 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Mao', 'kini', 'ang', ''colorized', 'photo', ''', 'sa', 'usa', 'ka', 'normal', 'nga', 'adlaw', 'sa', 'pantalan', 'sa', 'dakbayan', 'sa', 'Dumaguete', 'sa', 'Negros', 'Oriental', 'sa', 'w... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 6, 0, 0, 0, 0, 7, 0, 0, 0] | cebuaner |
4,280 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Moabot', 'na', 'sa', 'kapin', '11,200', 'ang', 'kompirmadong', 'namatay', 'sa', 'kusog', 'nga', 'linog', 'nga', 'nitay-og', 'sa', 'Turkey', 'ug', 'Syria', 'niadtong', 'Lunes.', 'Sumala'... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,281 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Posibleng', 'makasinati', 'ang', 'nasud', 'og', 'bugnaw', 'nga', 'panahon', 'sugod', 'karon', 'February', '14', ',', '2023', 'tungod', 'sa', 'Northeast', 'Monsoon', 'o', 'Amihan', '.'] ... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,282 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['KASALANG', 'BAYAN', ',', 'GI-RESCHEDULE', 'NGADTO', 'SA', 'JUNE', '16', 'Gi-postpone', 'ang', 'Kasalang', 'Bayan', 'nga', 'gitakda', 'untang', 'ipahigayon', 'karong', 'February', '14', ... | [0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0... | cebuaner |
4,283 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['MANILA', 'GINGANLAN', 'ISIP', '"', 'MOST', 'LOVING', 'CAPITAL', 'CITY', 'IN', 'THE', 'WORLD', '"', 'SA', 'USA', 'KA', 'PAGTUON', 'Nailhan', 'ang', 'mga', 'Pilipino', 'sa', 'daghan', 'ng... | [5, 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, 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, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,284 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['SEN.', 'TULFO', ',', 'GISUGYOT', 'ANG', 'PAGDILI', 'SA', 'MGA', 'BATAN-ON', 'SA', 'PAGGAMIT', 'OG', 'SOCIAL', 'MEDIA', 'ARON', 'PAG-UBOS', 'SA', 'TEENAGE', 'PREGNANCY', 'Gisugyot', 'ni'... | [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, 0, 0, 0, 0, 0, 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, 3, 4, 4, 4, 4, 4, 0, 3, 4, 4, 4, 4, 4, 0, 0, 3, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 7, 0, 7, 0, 7, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,285 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['IGSUON', 'SA', 'MAYOR', 'SA', 'USA', 'KA', 'LUNGSOD', 'SA', 'NEGROS', 'ORIENTAL', ',', 'NAPALGANG', 'PATAY', 'Napalgang', 'patay', 'ang', 'igsuon', 'sa', 'usa', 'ka', 'mayor', 'sa', 'Ne... | [0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 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, 1, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 5, 0, 1, 2, 0, 0, 0, 0, 0, 3, 4, 0, 0, 0, 0, 0, 0, 0, 1, 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... | cebuaner |
4,286 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['INFLATION', ',', 'PASPAS', 'NGA', 'NISAKA', 'NGADTO', 'SA', '8.7', '%', 'NIADTONG', 'ENERO', 'Paspas', 'nga', 'nisaka', 'ang', 'inflation', 'niadtong', 'Enero', 'tungod', 'sa', 'taas', ... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,287 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['AIRASIA', ',', 'NAGTANYAG', 'OG', '"', 'BUY', '1', ',', 'TAKE', '"', 'PROMO', 'ALANG', 'SA', 'VALENTINE', ''S', 'DAY', 'Nagtanyag', 'ang', 'AirAsia', 'Philippines', 'og', '"', 'Buy', '1... | [3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0, 0, 3, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,288 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['HARVARD', 'UNIVERSITY', ',', 'NAGTANYAG', 'OG', 'LIBRENG', '102', 'KA', 'MGA', 'ONLINE', 'COURSES', 'Nagtanyag', 'ang', 'Harvard', 'University', 'og', 'libre', 'nga', 'mga', 'online', '... | [3, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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 |
4,289 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Manghatag', 'ang', 'Cebu', 'entury', 'Plaza', 'Hotel', 'og', '5', 'break-up', 'paid', 'leaves', 'alang', 'sa', 'mga', 'nasakitan', 'ug', 'gibiyaan', 'nga', 'mga', 'empleyado', 'niini.',... | [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, 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, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,290 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['NEGROS', 'ORIENTAL', ',', 'GITAY-OG', 'OG', 'MAGNITUDE', '6.9', 'EARTHQUAKE', 'Karong', 'adlawa', 'niadtong', '2012', ',', 'gitay-og', 'og', 'magnitude', '6.9', 'nga', 'linog', 'ang', '... | [5, 6, 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, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 5, 6, 0, 0, 5, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 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, 5, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0... | cebuaner |
4,291 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['91-ANYOS', 'NGA', 'LOLO', ',', 'PATAY', 'HUMAN', 'MALIGSAN', 'SA', 'USA', 'KA', '10-WHEELER', 'TRUCK', 'Patay', 'ang', 'usa', 'ka', 'lolo', 'human', 'kini', 'naligsan', 'sa', 'usa', 'ka... | [0, 0, 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, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 2, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 6, 6, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 6... | cebuaner |
4,292 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Usa', 'ka', 'dakong', 'halas', 'ang', 'nakit-an', 'sa', 'Barangay', 'Jilocon', ',', 'San', 'Jose', 'sa', 'Negros', 'Oriental', 'mga', 'alas-2', 'sa', 'hapon', 'kagahapong', 'adlawa', ',... | [0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 6, 6, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 0, 3, 4, 4, 0, 3, 0, 0, 0, 0, 5, 6, 0] | cebuaner |
4,293 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['USA', 'KA', 'TINDAHAN', ',', 'MODAWAT', 'OG', 'SIBUYAS', 'ISIP', 'BAYAD', 'Modawat', 'og', 'sibuyas', 'isip', 'bayad', 'sa', 'ilang', 'mga', 'piniling', 'produkto', 'ang', 'Japan', 'Hom... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 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, 5, 6, 6, 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, 0, 0, 0, 0, 0, 0] | cebuaner |
4,294 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['SU', 'NAGPADAYON', 'SA', 'PAGDONAR', 'SA', 'ILANG', 'MGA', 'LIBRO', 'LOOK', ':', 'Nagpadayon', 'ang', 'Silliman', 'University', '(', 'SU', ')', 'sa', 'ilang', 'programa', 'sa', 'pagdona... | [3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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 |
4,295 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Swerte', 'nga', 'nakuhaan', 'sa', 'usa', 'ka', 'astrophotographer', 'sa', 'Tuguegarao', 'City', 'sa', 'Cagayan', 'ang', 'gitawag', 'nga', '"', 'The', 'Green', 'Comet', '"', 'o', 'Comet'... | [0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 5, 0, 0, 0, 0, 7, 8, 8, 0, 0, 7, 8, 8, 8, 8, 8, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,296 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Mao', 'kini', 'ang', 'hulagway', 'sa', 'central', 'market', 'nga', 'giila', 'sab', 'isip', '"', 'rice', 'bowl', '"', 'sa', 'Siaton', 'sa', 'Negros', 'Oriental', 'niadtong', '1971'] Use ... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 6, 0, 0] | cebuaner |
4,297 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['AIRASIA', 'NAGTANYAG', 'OG', 'P22', 'NGA', 'PLITE', 'PAINGON', 'SA', 'JAPAN', 'Nagtanyag', 'ang', 'AirAsia', 'Philippines', 'og', 'P22', 'nga', 'one-way', 'base', 'fare', 'ngadto', 'sa'... | [3, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 3, 4, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 5, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 0, 5, 6, 0, 5, 0, 0, 5, 0, 0, 0, 0, 0, 0, 5, 0, 5, 0, 5, 0, 5, 0, 0, 5, 0, 0, 0, 0... | cebuaner |
4,298 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gikihaan', 'sa', 'usa', 'ka', 'lalaki', 'sa', 'Singapore', 'ang', 'babayeng', 'iyang', 'naibgan', 'kinsa', 'kuno', 'nang-', '"', 'friendzone', '"', 'niya.', 'Nangayo', 'sa', 'korte', 'a... | [0, 0, 0, 0, 0, 0, 5, 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, 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, 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, 1, 0... | cebuaner |
4,299 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['NEGROS', 'OCCIDENTAL', 'GOV.', 'LACSON', ',', 'SULAYAN', 'PAGDANI', 'SI', 'GOV.', 'DEGAMO', 'BAHIN', 'SA', 'PAGTUKOD', 'SA', 'NEGROS', 'ISLAND', 'REGION', 'Gibutyag', 'ni', 'Negros', 'O... | [5, 6, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 5, 6, 6, 0, 0, 5, 6, 0, 1, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 1, 2, 0, 0, 0, 0, 0, 5, 6, 6, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 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, 1, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0... | cebuaner |
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