Unnamed: 0 int64 0 335k | question stringlengths 17 26.8k | answer stringlengths 1 7.13k | user_parent stringclasses 29
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4,100 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['MAESTRA', ',', 'NASAKPAN', 'NI', 'MISTER', 'NGA', 'NAGLABING-LABING', 'SA', 'LAING', 'LALAKI', 'Usa', 'ka', 'magtutudlo', 'sa', 'public', 'school', 'ug', 'giingong', 'kabit', 'niini', '... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 5, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 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... | cebuaner |
4,101 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nagpadayon', 'ang', 'Materials', 'Recovery', 'Facility', 'sa', 'dakbayan', 'sa', 'Dumaguete', 'sa', 'pagprodyus', 'og', 'plastic', 'nga', 'mga', 'lingkuranan', ',', 'construction', 'mat... | [0, 0, 5, 6, 6, 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, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,102 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['KABISAY-AN', 'UG', 'UBAN', 'PANG', 'PARTE', 'SA', 'PH', ',', 'MAKASINATI', 'OG', 'PAG-ULAN', 'TUNGOD', 'SA', 'LPA', 'Makasinati', 'og', 'maulanon', 'nga', 'adlaw', 'ang', 'ubang', 'bahi... | [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, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 5, 0, 0, 5, 0, 0, 5, 0, 5, 6, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 6, 0, 5... | cebuaner |
4,103 | 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', 'P55', 'NGA', 'PLITE', 'SUGOD', 'MAY', '1-7', 'Nagtanyag', 'ang', 'AirAsia', 'og', 'P55', 'nga', 'one-way', 'base', 'fare', 'gikan', 'niadtong', 'May',... | [3, 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, 5, 0, 5, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 6, 6, 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] | cebuaner |
4,104 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['LPA', ',', 'GILAOMANG', 'MAGDALA', 'OG', 'PAG-ULAN', 'SA', 'KABISAY-AN', 'Usa', 'ka', 'bag-ong', 'Low', 'Pressure', 'Area', '(', 'LPA', ')', 'nga', 'anaa', 'sa', 'aktibong', 'Intertropi... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 5, 6, 6, 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, 5, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 0, 0, 0, 0, 5, 6, 0, 0... | cebuaner |
4,105 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['PAGASA', ',', 'GI-ISYU', 'ANG', 'EL', 'NIÑO', 'ALERT', 'SA', 'NASUD', 'Gi-isyu', 'sa', 'Philippine', 'Atmospheric', ',', 'Geophysical', 'and', 'Astronomical', 'Services', 'Administratio... | [3, 0, 0, 0, 7, 8, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 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, 7, 8, 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] | cebuaner |
4,106 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['WALA', 'KAYO', 'SA', 'LOLA', 'KO', '!', ''', '82-ANYOS', ',', 'NAG-SKYDIVE', 'SA', 'SIQUIJOR', 'Gipamatud-an', 'sa', 'usa', 'ka', '82-anyos', 'nga', 'lola', 'nga', 'wala', 'sa', 'edad',... | [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, 1, 2, 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, 1, 2, 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, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,107 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['PINAY', 'NURSE', 'SA', 'AUSTRALIA', ',', 'NATAKTAK', 'HUMAN', 'GIINGONG', 'GIPASAGDAHAN', 'ANG', 'PASYENTE', 'ARON', 'MAKA-FACETIME', 'SA', 'PAMILYA', 'Gi-terminate', 'ang', 'pagparehis... | [7, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 7, 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, 7, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 3, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 6, 6, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 1, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,108 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['JACKPOT', 'SA', 'MEGA', 'LOTTO', '6', '/', '45', ',', 'MOABOT', 'NA', 'SA', 'KAPIN', 'P158-M', 'Gibanabanang', 'moabot', 'ngadto', 'sa', 'P158', 'million', 'ang', 'jackpot', 'sa', 'Mega... | [0, 0, 7, 8, 8, 8, 8, 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, 3, 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] | cebuaner |
4,109 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['PLDT', ',', 'GINGANLAN', 'ISIP', 'TOP', 'PH', 'INTERNET', 'SERVICE', 'PROVIDER', 'NIADTONG', '2022', 'Ginganlan', 'ang', 'PLDT', 'Inc.', 'isip', '"', 'fastest', 'fixed', 'internet', 'se... | [3, 0, 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, 7, 8, 8, 0, 0, 3, 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] | cebuaner |
4,110 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nakita', 'sa', 'usa', 'ka', 'netizen', 'ang', 'duha', 'ka', 'iro', 'nga', 'naglutaw', 'ug', 'gigapos', 'ang', 'mga', 'tiil', 'sa', 'kadagatan', 'sa', 'lungsod', 'sa', 'Dalaguete', ',', ... | [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, 0, 0, 0, 3, 4, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,111 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['PABAKUNAHAN', 'ANG', 'MGA', 'ANAK', 'LABAN', 'SA', 'POLIO', ',', 'RUBELLA', 'AT', 'TIGDAS', 'NGAYONG', 'MAY', '1-31', ',', '2023', 'Ipahigayon', 'sa', 'Department', 'of', 'Heath', '(', ... | [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, 7, 8, 8, 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, 1, 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... | cebuaner |
4,112 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nihakot', 'og', 'medalya', 'sa', 'CIVIRAA', '2023', 'ang', 'magsuong', 'estudyante', 'sa', 'Silliman', 'University.', 'Ang', 'magsuon', 'mao', 'sila', 'si', 'Kacie', 'Gabrielle', 'Marce... | [0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 3, 4, 0, 0, 0, 0, 0, 1, 2, 2, 2, 0, 0, 0, 0, 3, 0, 0, 0, 1, 2, 2, 0, 0, 0, 0, 0, 0, 0, 3, 0, 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, 0, 0, 0] | cebuaner |
4,113 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['BACOLOD', 'CHICKEN', 'INASAL', 'FESTIVAL', ',', 'MIBALIK', 'NA', 'HUMAN', 'SA', 'UPAT', 'KA', 'TUIG', 'Gianunsyo', 'sa', 'Bacolod', 'City', 'Government', 'ang', 'pagbalik', 'sa', 'tinui... | [7, 8, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 8, 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, 0, 5, 6, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,114 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Tulo', 'ka', 'Division', 'sa', 'probinsya', 'ang', 'nalakip', 'sa', 'Top', '10', 'sa', '#', 'CVIRAA2023', 'final', 'medal', 'tally', 'karong', 'adlawa', ',', 'Apr.', '28', ',', '2023.',... | [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, 4, 4, 0, 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, 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, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,115 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nakuha', 'ni', 'Janina', 'Alexandria', 'Anfone', 'Lintula', 'sa', 'Catherina', 'Cittadini', 'School', 'sa', 'Dumaguete', 'City', 'ang', '6', 'gold', 'medals', 'ug', '1', 'bronze', 'sa',... | [0, 0, 1, 2, 2, 2, 0, 3, 4, 4, 0, 5, 6, 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] | cebuaner |
4,116 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nakuha', 'sa', 'estudyanteng', 'si', 'Sky', 'Gako', 'sa', 'Negros', 'Oriental', 'High', 'School', 'ang', 'duha', 'ka', 'gold', 'medals', 'alang', 'sa', '1500', 'meters', 'ug', '400', 'm... | [0, 0, 0, 0, 1, 2, 0, 3, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0] | cebuaner |
4,117 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nakuha', 'sa', 'Dumaguete', 'City', 'Volleyball', 'Boys', 'and', 'Girls', '(', 'Elementary', ')', 'teams', 'ang', 'kampeyonato', 'sa', 'ilang', 'mga', 'kategorya', 'atol', 'sa', 'nagpad... | [0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 0, 5, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,118 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Aduna'y', 'ipahigayon', 'nga', 'Job', 'Fair', 'sa', 'Lamberto', 'Macias', 'Sports', 'and', 'Cultural', 'Complex', 'gikan', '8', ':', 'am', 'hangtod', '5:00pm', 'karong', 'Lunes', ',', '... | [0, 0, 0, 0, 0, 0, 5, 6, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,119 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Giluwas', 'sa', 'upat', 'ka', 'bulan', 'nga', 'Belgian', 'Malinois', 'nga', 'itoy', 'ang', 'usa', 'ka', '5-anyos', 'nga', 'bata', 'sulod', 'sa', 'nasunog', 'nga', 'balay', 'sa', 'Barang... | [0, 0, 0, 0, 0, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 5, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 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, 0, 0, 0... | cebuaner |
4,120 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nakadaug', 'og', '10', 'ka', 'gold', 'medal', 'ang', 'Bayawan', 'City', 'division', 'sa', 'wrestling', 'event', 'sa', '#', 'CVIRAA2023', 'meet', 'nga', 'gipahigayon', 'didto', 'sa', 'Ca... | [0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 0, 0, 0, 0, 0, 7, 8, 0, 0, 0, 0, 5, 6, 6, 6, 0, 0, 0, 0, 0, 3, 4, 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, 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, 3, 4, 0, 0, 0, 1, 2, 2, 0, 1, 2, 2, 0, 1, 2, 2, 0, 0... | cebuaner |
4,121 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Walay', 'klase', 'sa', 'tanang', 'pampubliko', 'og', 'pribadong', 'elementary', 'ug', 'high', 'schools', 'sa', 'DUMAGUETE', 'CITY', 'karong', 'Huwebes', ',', 'Abril', '27', ',', '2023.'... | [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, 3, 4, 4, 4, 0, 0, 0, 0, 0, 1, 2, 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, 3, 4, 4, 4, 4, 4, 4, 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] | cebuaner |
4,122 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['DICT', ':', 'MGA', 'DILI', 'REHISTRADONG', 'SIM', ',', 'POSIBLENG', 'DILI', 'NA', 'MAKA-FACEBOOK', 'UG', 'TIKTOK', 'Mahimong', 'makasinati', 'og', 'hinay-hinay', 'nga', 'pagkawala', 'sa... | [3, 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, 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, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 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, 7, 0... | cebuaner |
4,123 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['PBBM', ':', 'PAGBALIK', 'SA', 'SUMMER', 'BREAK', 'SA', 'MARSO', ',', 'GITUN-AN', 'Gitun-an', 'na', 'karon', 'sa', 'gobyerno', 'ang', 'posibleng', 'pagbalik', 'sa', '"', 'summer', 'break... | [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, 0, 0, 0, 0, 0, 0, 0, 1, 2, 2, 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, 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... | cebuaner |
4,124 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gipalugwayan', 'na', 'og', 'dugang', '90', 'ka', 'adlaw', 'ang', 'panahon', 'sa', 'pagpa-register', 'sa', 'mga', 'SIM', 'card.', 'Mao', 'kini', 'ang', 'anunsyo', 'ni', 'Justice', 'Secre... | [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, 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] | cebuaner |
4,125 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['MAYOR', 'JANICE', 'DEGAMO', ',', ''EMOSYONAL', ''', 'HUMAN', 'MAKAATUBANG', 'SA', 'UNANG', 'HIGAYON', 'ANG', 'MGA', 'GIINGONG', 'NIPATAY', 'SA', 'BANA', 'Nakita', 'sa', 'unang', 'higayo... | [0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 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, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,126 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['TAIWAN', ',', 'MAGTANYAG', 'OG', '500K', 'KA', 'DIGITAL', 'CARD', 'OG', 'HOTEL', 'VOUCHER', 'ALANG', 'SA', 'MGA', 'TURISTA', 'Magtanyag', 'ang', 'Taiwan', 'sa', 'mga', 'turista', 'og', ... | [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, 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, 5, 0, 5, 6, 0, 0, 0, 5, 0, 0, 5, 0, 5, 6, 6, 0] | cebuaner |
4,127 | 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', 'driver', ''s', 'license', 'nga', 'giimprinta', 'sa', 'papel.', 'Temporaryo', 'nga', 'iisyu', 'ang', 'maong', 'papel', 'sa', 'mga', 'aplikante', '... | [0, 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, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,128 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nakigkita', 'si', 'Presidente', 'Bongbong', 'Marcos', 'kang', 'Pamplona', 'Mayor', 'Janice', 'Degamo', 'ug', 'mga', 'uban', 'pang', 'biktima', 'sa', 'mga', 'insidente', 'sa', 'pagpamata... | [0, 0, 0, 1, 2, 0, 0, 1, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,129 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['BALAY', 'SA', 'CANDAU-AY', ',', 'GIPABUTHAN', 'OG', 'PUSIL', 'Nakuratan', 'ang', 'mga', 'residente', 'sa', 'Purok', 'Gumamela', 'sa', 'Barangay', 'Candau-ay', 'ning', 'dakbayan', 'human... | [0, 0, 5, 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, 3, 4, 0, 0, 0, 0, 0, 0, 0, 1, 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... | cebuaner |
4,130 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Makita', 'sa', 'video', 'ni', 'Mabinay', 'Mayor', 'Ernie', 'Jango', 'Uy', 'ang', 'paghagtok', 'sa', 'yelo', 'nga', 'nagtagaktak', 'sa', 'maong', 'lungsod', 'karong', 'buntag', ',', 'Abr... | [0, 0, 0, 0, 5, 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, 5, 6, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,131 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['MABINAY', ',', 'GIPAULANAN', 'OG', 'YELO', 'Taliwala', 'sa', 'kainit', 'sa', 'panahon', 'nga', 'dala', 'sa', 'ting-init', ',', 'nakasinati', 'og', 'kusog', 'nga', 'hangin', 'ug', 'pag-u... | [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, 5, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,132 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['NEGOR', ',', 'NAGPATUMAN', 'NA', 'SAB', 'OG', 'BAN', 'SA', 'PAGPASULOD', 'OG', 'MGA', 'LANGGAM', 'PAGPAKGANG', 'SA', 'BIRD', 'FLU', 'Gipahamtang', 'sa', 'provincial', 'government', 'sa'... | [5, 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, 7, 8, 8, 8, 8, 8, 8, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 8, 8, 8, 8, 0, 0, 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, 0, 7, 8, 0, 0, 0, 0... | cebuaner |
4,133 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['1ST', 'BATCH', 'SA', '2023', 'DUMAGUETE', 'FARM', 'TRAINEES', ',', 'MIABOT', 'NA', 'SA', 'SOUTH', 'KOREA', 'Miabot', 'na', 'sa', 'South', 'Korea', 'ang', 'unang', 'batch', 'sa', '32', '... | [0, 0, 0, 0, 3, 4, 4, 0, 0, 0, 0, 5, 6, 0, 0, 0, 5, 6, 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, 1, 2, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,134 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['DICT', ':', 'SIM', 'REGISTRATION', ',', 'DILI', 'I-EXTEND', 'SA', 'PAGKAKARON', 'Dili', 'na', 'lugwayan', 'ang', 'April', '26', 'nga', 'deadline', 'sa', 'pagparehistro', 'sa', 'SIM', ',... | [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, 3, 4, 4, 4, 4, 4, 4, 4, 4, 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, 7, 8, 8, 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... | cebuaner |
4,135 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['NEGOR', ',', 'GI-BAN', 'ANG', 'PORK', 'PRODUCTS', 'GIKAN', 'SA', 'CEBU', 'UG', 'UBAN', 'PANG', 'LUGAR', 'NGA', 'APEKTADO', 'SA', 'ASF', 'Gipahamtang', 'sa', 'provincial', 'government', ... | [5, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 8, 8, 8, 0, 0, 0, 0, 0, 0, 0, 7, 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, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,136 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['2', 'PATAY', 'HUMAN', 'GIPUSIL', 'SA', 'GIINGONG', 'MGA', 'MIYEMBRO', 'SA', 'NPA', 'SA', 'GUIHULNGAN', 'CITY', 'Patay', 'ang', 'duha', 'ka', 'lalaki', 'human', 'gipusil', 'sa', 'giingon... | [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, 3, 4, 4, 4, 4, 4, 4, 0, 5, 6, 6, 6, 6, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 1, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 2, 2, 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, 1... | cebuaner |
4,137 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['MOTORISTA', ',', 'PATAY', 'HUMAN', 'NALIGSAN', 'SA', 'TRUCK', 'DE', 'KARGA', 'Dead', 'on', 'the', 'spot', 'ang', 'usa', 'ka', 'motorista', 'human', 'kini', 'maligsan', 'sa', 'truck', 'd... | [0, 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, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 1, 2, 2, 2, 0, 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, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,138 | 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', 'P88', 'NGA', 'PLITE', 'GIKAN', 'APRIL', '17-23', 'Nagtanyag', 'ang', 'AirAsia', 'Philippines', 'og', 'P88', 'nga', 'one-way', 'base', 'fare', 'gikan',... | [3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 0, 0, 5, 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, 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... | cebuaner |
4,139 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gikalingawan', 'karon', 'sa', 'mga', 'netizen', 'ang', 'pagrampa', 'ni', '“Dolomite', 'Queen”', 'Renalyn', 'Macato', 'sa', 'iyang', 'pagbisita', 'ning', 'dakbayan', 'sa', 'Dumaguete.', ... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 5, 0, 5, 6, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 6, 0, 0, 0, 0, 0, 0] | cebuaner |
4,140 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['REKISITOS', 'NGA', 'PERIODIC', 'MEDICAL', 'EXAM', 'ALANG', 'SA', 'MGA', 'DUNAY', 'LISENSYA', ',', 'GILIBKAS', 'NA', 'SA', 'LTO', 'Dili', 'na', 'obligahon', 'sa', 'Land', 'Transportation... | [0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 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, 3, 0, 1, 2, 2, 0, 0, 0, 7, 8, 8, 8, 0, 0, 7, 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, 7, 8, 8, 8... | cebuaner |
4,141 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Napalgang', 'patay', 'ang', 'usa', 'ka', 'lalaki', 'samtang', 'kini', 'naghulat', 'sa', 'iyang', 'biyahe', 'sulod', 'sa', 'pantalan', 'ning', 'dakbayan', 'sa', 'Dumaguete', 'karong', 'L... | [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, 0, 0, 0, 0, 0, 1, 2, 2, 0, 0, 1, 2, 0, 0, 0, 0, 0, 5, 6, 0, 1, 0, 0, 0, 0, 5, 6, 6, 6, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 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... | cebuaner |
4,142 | 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', 'PAGBALIK', 'SA', 'P1', 'NGA', 'PLITE', 'Nagtanyag', 'pagbalik', 'ang', 'Cebu', 'Pacific', 'sa', 'ilang', 'P1', 'nga', 'sale', 'aron', 'pagtugot', 's... | [3, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 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, 0, 0, 0, 0, 0, 0] | cebuaner |
4,143 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Tulo', 'ka', 'managsuon', 'ang', 'nakapasar', 'sa', '2022', 'Bar', 'Examinations.', 'Ang', 'managsuon', 'mao', 'sila', 'si', 'Manuel', 'Alexander', 'Orozco', 'Soriano', ',', 'Manuel', '... | [0, 0, 0, 0, 0, 0, 0, 7, 8, 0, 0, 0, 0, 0, 1, 2, 2, 2, 0, 1, 2, 2, 2, 0, 1, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 0, 0, 0, 0, 0, 0] | cebuaner |
4,144 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nakuratan', 'ang', 'usa', 'ka', 'empleyado', 'sa', 'Shenzhen', ',', 'China', 'sa', 'dihang', 'nakadaug', 'siya', 'og', 'usa', 'ka', 'tuig', 'nga', 'paid', 'leave', 'atol', 'sa', 'ilang'... | [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, 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, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,145 | 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', 'sunod', 'Biyernes', ',', 'Abril', '21', ',', '2023.', 'Kini', 'human', 'gideklarar', 'ni', 'Presidente', 'Ferdinand', 'Marcos', 'Jr.', 'ang',... | [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, 0, 0, 0, 0, 0, 0, 7, 0] | cebuaner |
4,146 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['PSA', ':', 'SAKIT', 'SA', 'KASINGKASING', ',', 'NAG-UNANG', 'HINUNGDAN', 'SA', 'PAGKAMATAY', 'SA', 'NASUD', 'Ang', 'sakit', 'sa', 'kasingkasing', 'nga', 'Ischaemic', 'mao'y', 'nagpabili... | [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, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 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, 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... | cebuaner |
4,147 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['DICT', ':', ''GITUN-AN', ''', 'ANG', 'BASEHAN', 'SA', 'PAG-EXTEND', 'SA', 'DEADLINE', 'SA', 'SIM', 'REGISTRATION', 'Gitun-an', 'sa', 'Department', 'of', 'Information', 'and', 'Communica... | [3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 4, 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, 3, 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, 3, 4, 0, 3, 4, 0... | cebuaner |
4,148 | 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', 'view', ''', 'sa', 'Central', 'Azucarera', 'de', 'Bais', 'pier', ',', 'diin', 'ipadala', 'ang', 'tubo', 'gikan', 'sa', 'pabrika', 'paingon', 'sa', 'ba... | [0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 5, 0, 0, 0] | cebuaner |
4,149 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nagtigom', 'ang', 'mga', 'supporter', ',', 'kabanay', ',', 'ug', 'mga', 'kauban', 'sa', 'trabaho', 'ni', 'kanhing', 'Negros', 'Oriental', 'Gov.', 'Roel', 'Degamo', 'karong', 'Miyerkoles... | [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, 0, 0, 0, 5, 6, 6, 0, 0, 0, 0, 3, 4, 4, 4, 0] | cebuaner |
4,150 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nakadawat', 'si', 'Rine', 'Christelle', 'G.', 'Anfone', 'og', 'P200,000', 'gift', 'incentive', 'human', 'siya', 'nalakip', 'sa', 'Top', '9', 'sa', '2022', 'Licensure', 'Examination', 'f... | [0, 0, 1, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 8, 8, 8, 8, 0, 0, 0, 1, 0, 3, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,151 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['GIINGONG', 'SHABU', 'NGA', 'GIPUTOS', 'SA', 'CONDOM', ',', 'NASAKMIT', 'SA', 'NEGROS', 'ORIENTAL', 'PROVINCIAL', 'JAIL', 'Napugngan', 'sa', 'mga', 'awtoridad', 'ang', 'gikatahong', 'pag... | [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, 0, 0, 5, 6, 6, 6, 6, 6, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 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, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,152 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['LALAKI', ',', 'GIPUSIL', 'PATAY', 'SA', 'GIINGONG', 'NPA', 'SA', 'GUIHULNGAN', 'CITY', 'Patay', 'ang', 'usa', 'ka', 'lalaki', 'human', 'siya', 'gipusil', 'sa', 'Sitio', 'Mag-ubay', ',',... | [0, 0, 0, 0, 0, 0, 3, 0, 5, 6, 0, 0, 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, 5, 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, 0, 0, 0, 0, 0... | cebuaner |
4,153 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['DALAI', 'LAMA', ',', 'NAG-SORRY', 'HUMAN', 'MIHANGYO', 'SA', 'BATA', 'PAGSUPSOP', 'SA', 'IYANG', 'DILA', 'Nangayo', 'og', 'pasaylo', 'ang', 'Tibetan', 'spiritual', 'leader', 'nga', 'si'... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 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, 1, 2, 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... | cebuaner |
4,154 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['BALAUDNON', 'PAG-IMBESTIGAR', 'SA', 'MGA', '‘BASTOS', 'UG', 'SUPLADO’', 'NGA', 'KAWANI', 'SA', 'GOBYERNO', ',', 'GIDUSO', 'NI', 'SEN.', 'TULFO', 'Gipasaka', 'ni', 'Sen.', 'Raffy', 'Tulf... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 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, 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, 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... | cebuaner |
4,155 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['PNP', ':', '72', 'PATAY', 'HUMAN', 'MALUMOS', 'NIADTONG', 'SEMANA', 'SANTA', '72', 'ka', 'mga', 'tawo', 'ang', 'natala', 'nga', 'namatay', 'tungod', 'sa', 'mga', 'insidente', 'sa', 'pag... | [3, 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, 3, 4, 4, 4, 4, 4, 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, 0, 0, 0, 5, 6, 6, 6, 6, 6, 0, 5, 6, 6, 6, 6, 6, 0, 0, 5, 6, 6, 6, 6, 0, 0, 0... | cebuaner |
4,156 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['MAGSUON', 'SA', 'JIMALALUD', ',', 'PATAY', 'HUMAN', 'MATUMBAHAN', 'OG', 'LUBI', 'Patay', 'ang', 'duha', 'ka', 'managsuon', 'human', 'sila', 'matumbahan', 'sa', 'punoan', 'sa', 'lubi', '... | [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, 5, 6, 6, 6, 6, 6, 0, 0, 0, 5, 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, 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... | cebuaner |
4,157 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gikatahong', 'nagbulag', 'na', 'ang', 'inilang', 'singer-songwriter', 'nga', 'si', 'Taylor', 'Swift', 'ug', 'ang', 'aktor', 'nga', 'uyab', 'niini', 'nga', 'si', 'Joe', 'Alwyn.', 'Sumala... | [0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 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, 1, 0, 0, 0, 0, 0, 1, 0] | cebuaner |
4,158 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['VIA', 'CRUCIS', 'SA', 'DUMAGUETE', 'LOOK', ':', 'Gatosan', 'ka', 'Dumagueteño', 'ang', 'nitambong', 'sa', 'Via', 'Crucis', 'kon', 'Way', 'of', 'the', 'Cross', 'karong', 'Biyernes', 'San... | [7, 8, 0, 5, 0, 0, 0, 0, 7, 0, 0, 0, 7, 8, 0, 7, 8, 8, 8, 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] | cebuaner |
4,159 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['PBBM', ',', 'NAGTUKOD', 'NA', 'OG', 'TASK', 'FORCE', 'ARON', 'MASIGURO', 'ANG', 'KALINAW', 'SA', 'NEGROS', 'ORIENTAL', 'HUMAN', 'SA', 'PAGPATAY', 'KANG', 'GOV.', 'DEGAMO', 'Giaprobahan'... | [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 1, 2, 0, 0, 5, 6, 6, 6, 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, 5, 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, 3... | cebuaner |
4,160 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['14-ANYOS', 'NGA', 'DALAGA', ',', 'GITIGBAS', 'PATAY', 'SA', 'GUIHULNGAN', 'CITY', 'Nakaplagan', 'ang', 'patay', 'nga', 'lawas', 'sa', 'usa', 'ka', '14-anyos', 'nga', 'babayi', 'sa', 'Si... | [0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 6, 6, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 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, 0, 0, 0, 0, 0, 0, 0, 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 |
4,161 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Mahitabo', 'ang', 'labing', 'talagsaon', 'nga', 'solar', 'eclipse', 'karong', 'April', '20', ',', '2023', ',', 'nga', 'gitawag', 'nga', 'hybrid', 'solar', 'eclipse.', 'Mahimong', 'makit... | [0, 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, 0, 5, 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] | cebuaner |
4,162 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Ginganlan', 'sa', 'NASA', 'ang', 'upat', 'ka', 'mga', 'astronauts', 'nga', 'moadto', 'sa', 'bulan', 'atol', 'sa', 'misyon', 'sa', 'Artemis', 'II.', 'Ang', 'mga', 'astronaut', 'mao', 'si... | [0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0] | cebuaner |
4,163 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Maagian', 'na', 'sa', 'mga', 'motorista', 'ang', 'bahin', 'sa', 'Camanjac-Magatas', 'Metro', 'Dumaguete', 'Diversion', 'Road', 'human', 'natangtang', 'na', 'ang', 'alad', 'ug', 'nasemen... | [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, 5, 6, 0, 0, 5, 6, 0, 0, 5, 6, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 6, 0, 5, 6, 0] | cebuaner |
4,164 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Mga', 'Negrense', 'nagtapok', 'sa', 'Mabinay', 'Spring', 'karong', 'adlawa', ',', 'Abril', '2', ',', '2023', 'aron', 'magpabugnaw', 'gikan', 'sa', 'hilabihang', 'kainit', 'sa', 'panahon... | [0, 7, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0] | cebuaner |
4,165 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['MGA', 'KAWANI', 'SA', 'GOBYERNO', ',', 'WALA', 'NAY', 'TRABAHO', 'SUGOD', 'SA', 'HAPON', 'SA', 'ABRIL', '5', 'Gisuspende', 'ang', 'pagtrabaho', 'sa', 'mga', 'opisina', 'sa', 'gobyerno',... | [0, 0, 0, 0, 0, 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, 7, 8, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 0] | cebuaner |
4,166 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['247', 'ka', 'mga', 'CCTV', 'ang', 'gikomisyon', 'ug', 'gi-activate', 'sa', 'Bais', 'City', 'sa', 'kompanya', 'nga', 'Mega', 'Speed', '.'] Use the following schema: 1 = B-WIS: Beginning ... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 3, 4, 0] | cebuaner |
4,167 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Mas', 'gipasayon', 'sa', 'GCash', 'ang', 'international', 'travels', 'pinaagi', 'sa', 'bag-ong', 'GCash', 'card', 'ug', 'bag-ong', 'Visa', 'card', 'nga', 'magamit', 'sa', '100', 'millio... | [0, 0, 0, 7, 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] | cebuaner |
4,168 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nadiskubre', 'sa', 'mga', 'astronomers', 'ang', 'usa', 'sa', 'pinakadako', 'nga', 'black', 'holes', 'gamit', 'ang', 'usa', 'ka', 'bag-ong', 'teknik', 'nga', 'makakita', 'sa', 'liboan', ... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 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] | cebuaner |
4,169 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['KAPIN', 'P34-M', 'NGA', 'JACKPOT', 'SA', 'GRAND', 'LOTTO', '6', '/', '55', ',', 'SOLONG', 'NADAG-AN', 'Usa', 'ka', 'tigpatad', 'ang', 'nakadaog', 'sa', 'kapin', 'P34', 'milyon', 'nga', ... | [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, 3, 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, 7, 8, 8, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,170 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['P2.1-M', 'NGA', 'BALOR', 'SA', 'ILEGAL', 'NGA', 'DRUGAS', ',', 'NASAKMIT', 'SA', 'KAPULISAN', 'SA', 'UNANG', '3', 'KA', 'BULAN', 'SA', '2023', 'Gibutyag', 'sa', 'Dumaguete', 'City', 'Po... | [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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 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 |
4,171 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['PAG-IBIG', ',', 'GIANUNSYO', 'ANG', 'DIVIDEND', 'RATES', 'SA', 'REGULAR', 'SAVINGS', 'UG', 'MP2', 'SAVINGS', 'Gianunsyo', 'sa', 'Pag-IBIG', 'Fund', 'ang', 'gipaabot', 'nga', 'Pag-IBIG',... | [3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 0, 0, 7, 8, 0, 0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,172 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['ASH', 'KETCHUM', 'UG', 'PIKACHU', ',', 'NANAMILIT', 'NA', 'ISIP', 'MGA', 'BIDA', 'SA', 'POKEMON', 'Opisyal', 'na', 'nga', 'natapos', 'ang', 'minahal', 'nga', 'mga', 'karakter', 'nga', '... | [1, 2, 0, 1, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 1, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 7, 0, 1, 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, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,173 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['314', 'DENGUE', 'CASES', ',', 'NATALA', 'SA', 'NEGROS', 'ORIENTAL', ';', '1', 'ANG', 'NAMATAY', 'Nakatala', 'og', 'kinatibuk-ang', '314', 'ka', 'mga', 'kaso', 'sa', 'dengue', 'ang', 'pr... | [0, 0, 0, 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, 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, 0, 0, 0, 0, 0, 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 |
4,174 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nakita', 'sa', 'duha', 'ka', 'mga', 'hiker', 'ang', 'Visayan', 'leopard', 'cat', ',', 'nga', 'lokal', 'nga', 'nailhan', 'isip', '"', 'Maral', ',', '"', 'sa', 'Mt.', 'Talinis', 'sa', 'Ne... | [0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 5, 6, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 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, 5, 0, 5, 0, 0, 5, 0] | cebuaner |
4,175 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['MGA', 'COUPLE', 'NGA', 'LDR', ',', 'PWEDE', 'NANG', 'MAGHALOK', 'GAMIT', 'ANG', 'USA', 'KA', 'DEVICE', 'NGA', 'ADUNAY', 'BA-BA', 'Posible', 'nang', 'maghalok', 'ang', 'mga', 'couple', '... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 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, 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... | cebuaner |
4,176 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['IMAHE', 'SA', 'PATAYNG', 'LAWAS', 'NI', 'JESUS', 'NGA', 'GIDALA', 'SA', 'USA', 'KA', 'PARI', ',', 'NASAYPAN', 'KUNO', 'NGA', 'LALAKING', 'GI-SALVAGE', 'Usa', 'ka', 'pari', 'nga', 'papau... | [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, 0, 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, 2, 0, 5, 0, 0, 0, 0, 1, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0] | cebuaner |
4,177 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Karong', 'adlawa', ',', 'nagtimaan', 'kini', 'sa', 'pagsugod', 'sa', 'Islamic', 'Holy', 'Month', 'of', 'Ramadan.', 'Usa', 'kini', 'ka', 'importanteng', 'panahon', 'sa', 'atong', 'mga', ... | [0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0] | cebuaner |
4,178 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Aduna'y', 'Local', 'and', 'Overseas', 'Job', 'Fair', 'nga', 'ipahigayon', 'ang', 'Local', 'Government', 'Unit', '(', 'LGU', ')', 'sa', 'dakbayan', 'sa', 'Dumaguete', 'pinaagi', 'sa', 'P... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 0, 0, 0, 5, 0, 0, 3, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 6, 6, 0, 5, 6, 6, 6] | cebuaner |
4,179 | 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', 'mga', 'schedule', 'sa', 'byahe', 'sa', 'Maayo', 'Shipping', ',', 'Inc.', 'alang', 'sa', 'umalabot', 'nga', 'Semana', 'Santa.', 'Mga', 'byahe', 'kini', 'sa', 'Tampi... | [0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 0, 0, 0, 0, 7, 8, 0, 0, 0, 0, 5, 0, 0, 0, 0, 5, 0, 0, 0, 0] | cebuaner |
4,180 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['PH', ',', 'IKA-76', 'SA', 'WORLD', ''S', 'HAPPIEST', 'COUNTRIES', 'IN', '2023', 'Ni-us-os', 'ang', 'ranggo', 'sa', 'Pilipinas', 'gikan', '60', 'ngadto', 'sa', 'ika-76', 'nga', 'nasud', ... | [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, 7, 8, 8, 0] | cebuaner |
4,181 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Opisyal', 'nang', 'gideklarar', 'sa', 'PAGASA', 'ang', 'pagtapos', 'sa', 'panahon', 'sa', 'Amihan', 'ug', 'ang', 'pagsugod', 'sa', 'dry', 'season', 'kon', 'ting-init.', 'Gilaomang', 'mo... | [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, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,182 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['FUNERAL', 'UG', 'BURIAL', 'SERVICES', ',', 'LAKIP', 'SA', 'SENIOR', 'CITIZEN', 'DISCOUNT', 'Kinahanglang', 'hatagan', 'og', '20', '%', 'nga', 'diskwento', 'ang', '"', 'funeral', 'and', ... | [0, 0, 0, 0, 0, 0, 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, 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 |
4,183 | 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', '#', 'WorldSleepDay.', 'Gilusad', 'kini', 'sa', 'grupo', 'sa', 'World', 'Sleep', 'Society', 'aron', 'pagpahibalo', 'sa', 'publiko', 'sa', 'importansiya'... | [0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 3, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,184 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Hingpit', 'nang', 'gidala', 'si', 'Negros', 'Oriental', 'Gov.', 'Roel', 'Degamo', 'sa', 'pahulayang', 'dayon', 'niini', 'duol', 'sa', 'iyang', 'balay', 'sa', 'Barangay', 'Bonawon', 'sa'... | [0, 0, 0, 0, 5, 6, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,185 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nagbangutan', 'ang', 'gatusan', 'ka', 'Negrense', 'nga', 'nitambong', 'sa', 'paghatud', 'ni', 'kanhing', 'Gov.', 'Roel', 'Degamo', 'sa', 'pahulayang', 'dayon', 'niini', 'sa', 'Bonawon',... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 1, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,186 | 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', 'sleeker', 'spacesuits', 'nga', 'suoton', 'sa', 'mga', 'astronaut', 'nga', 'maglakaw', 'sa', 'bulan.', 'Maghatag', 'og', 'dugang', 'flexibility', ... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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 |
4,187 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['NEGROS', 'ORIENTAL', ',', 'NAGPABILING', 'GAWASNON', 'SA', 'AFRICAN', 'SWINE', 'FEVER', 'Nagpabiling', 'gawasnon', 'sa', 'African', 'Swine', 'Fever', '(', 'ASF', ')', 'ang', 'probinsya'... | [5, 6, 0, 0, 7, 8, 8, 8, 8, 0, 0, 0, 7, 8, 8, 8, 8, 8, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 3, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 5, 6, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,188 | 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', 'sa', 'tibuok', 'Negros', 'Oriental', 'karong', 'Huwebes', ',', 'Marso', '16', ',', '2023.', 'Kini', 'subay', 'sa', 'proklamasyon', 'sa', 'Mal... | [0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 0] | cebuaner |
4,189 | 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', 'usa', 'ka', 'hulagway', 'sa', 'hayag', 'ug', 'dakong', 'bituon', 'nga', 'Wolf-Rayet', ',', 'usa', 'ka', 'yugto', 'nga', 'mahitabo', 'sa', 'pipila', 'ka'... | [0, 0, 3, 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, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0] | cebuaner |
4,190 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Aduna'y', 'umalabot', 'nga', 'long', 'weekend', 'karong', 'April', 'human', 'gibalhin', 'sa', 'Malacañang', 'ang', 'Araw', 'ng', 'Kagitingan', 'gikan', 'April', '9', ',', '2023', 'ngadt... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 7, 8, 8, 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] | cebuaner |
4,191 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nibisita', 'karong', 'hapon', ',', 'Marso', '14', ',', '2023', ',', 'si', 'Vice', 'President', 'Sara', 'Duterte', 'sa', 'haya', 'ni', 'Gov.', 'Roel', 'Degamo', 'sa', 'lungsod', 'sa', 'S... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 2, 0, 0, 0, 0, 1, 2, 0, 0, 0, 5, 0] | cebuaner |
4,192 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Human', 'sa', 'lima', 'ka', 'bulan', 'sa', 'International', 'Space', 'Station', ',', 'nakabalik', 'na', 'sa', 'Earth', 'ang', 'upat', 'ka', 'miyembro', 'sa', 'SpaceX', 'Crew-5', 'missio... | [0, 0, 0, 0, 0, 0, 5, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 1, 2, 0, 1, 2, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 0, 1, 2, 0, 0, 3, 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, 0] | cebuaner |
4,193 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Walay', 'kuryente', 'sa', 'tibuok', 'dakbayan', 'sa', 'Dumaguete', 'ug', 'sa', '7', 'pa', 'ka', 'laing', 'dapit', 'sa', 'Negros', 'Oriental', 'karong', 'sunod', 'Sabado', ',', 'Mar.', '... | [0, 0, 0, 0, 0, 0, 5, 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, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 6, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 0, 5, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,194 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nahimong', 'emosyonal', 'ang', 'pagbalik', 'ni', 'Gov.', 'Guido', 'Reyes', 'sa', 'Kapitolyo', 'sa', 'Negros', 'Oriental', 'karong', 'adlawa', ',', 'Marso', '13', ',', '2023', ',', 'huma... | [0, 0, 0, 0, 0, 0, 1, 2, 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, 0, 0, 0, 1, 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] | cebuaner |
4,195 | 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', 'KARONG', 'MARSO', 'Nagtanyag', 'ang', 'AirAsia', 'og', 'laing', 'hugna', 'sa', 'P1', 'nga', 'seat', 'sale', 'alang', 'sa', 'mga'... | [3, 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, 3, 0, 3, 0, 3, 4, 0, 3, 0, 3, 0, 3, 0, 3, 4, 4, 0, 3, 0, 3, 0, 3, 0, 3, 4, 0, 3, 0, 3, 0, 0, 3, 4, 4, 0, 3, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,196 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['PH', 'ARMY', ',', 'NAGPADALA', 'OG', 'DUGANG', 'NGA', 'TROPA', 'SA', 'NEGOR', 'HUMAN', 'SA', 'PAGPATAY', 'NI', 'GOV.', 'ROEL', 'DEGAMO', 'Unom', 'ka', 'batalyon', 'sa', 'Philippine', 'A... | [3, 4, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 3, 4, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 3, 0, 3, 0, 3, 0, 3, 0, 3, 0, 0, 3, 4, 4, 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, 3, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 3, 4, 4, 4... | cebuaner |
4,197 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gihatod', 'na', 'sa', 'iyang', 'hometown', 'sa', 'Bonawon', ',', 'Siaton', 'ang', 'patayng', 'lawas', 'ni', 'anhing', 'Governor', 'Roel', 'Degamo.', 'Samtang', 'gihatod', 'kini', 'didto... | [0, 0, 0, 0, 0, 0, 5, 6, 6, 0, 0, 0, 0, 0, 0, 1, 2, 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] | cebuaner |
4,198 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nibisita', 'karong', 'adlawa', '(', 'Mar.', '11', ',', '2023', ')', 'si', 'Defense', 'Secretary', 'Carlito', 'Galvez', 'Jr.', ',', 'Senator', 'Mark', 'Villar', ',', 'ug', 'AFP', 'Chief'... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 2, 0, 0, 1, 2, 0, 0, 3, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 5, 6, 6, 6, 0, 0, 0, 5, 0] | cebuaner |
4,199 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['NEGOR', ',', 'GI-BAN', 'SAB', 'ANG', 'PORK', 'PRODUCTS', 'GIKAN', 'SA', 'CEBU', 'Gipahamtang', 'sa', 'provincial', 'government', 'sa', 'Negros', 'Oriental', 'ang', 'total', 'ban', 'sa',... | [5, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 7, 8, 8, 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, 3, 4, 4, 4, 4, 4, 0, 0, 1, 2, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 0, 5, 6, 0, 0, 0, 0, 7, 0, 7, 8, 0... | cebuaner |
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