Unnamed: 0 int64 0 335k | question stringlengths 17 26.8k | answer stringlengths 1 7.13k | user_parent stringclasses 29
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4,400 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['MINIMUM', 'WAGE', 'SA', 'NCR', ',', 'GIDUSO', 'NGA', 'IPATAAS', 'NGADTO', 'SA', 'P1,140', 'KADA', 'ADLAW', 'TUNGOD', 'SA', 'INFLATION', 'Aron', 'mabuhi', 'nga', '"', 'disente', '"', 'an... | [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, 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, 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, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,401 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['LPA', 'NASIGPATAN', 'GAWAS', 'SA', 'PAR', ',', 'POSIBLENG', 'MAHIMONG', 'BAGYO', 'SA', 'MGA', 'MOSUNOD', 'NGA', 'ADLAW', 'Gibantayan', 'na', 'karon', 'ang', 'usa', 'ka', 'low', 'pressur... | [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, 6, 6, 6, 6, 6, 6, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 3, 0, 0, 7, 0] | cebuaner |
4,402 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['LUNGON', ',', 'GRAND', 'PRIZE', 'SA', 'RAFFLE', 'SA', 'USA', 'KA', 'CHRISTMAS', 'PARTY', 'Lungon', 'ang', 'gihimong', 'grand', 'prize', 'sa', 'raffle', 'sa', 'Christmas', 'party', 'sa',... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 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] | cebuaner |
4,403 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['BALAODNON', 'NGA', 'NAGTINGUHANG', 'PAUBSAN', 'ANG', 'EDAD', 'SA', 'SENIOR', 'CITIZEN', ',', 'GIDUSO', 'Gipasaka', 'ni', 'Senator', 'Bong', 'Revilla', 'ang', 'usa', 'ka', 'balaudnon', '... | [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, 1, 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, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,404 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['BABAYI', 'SA', 'MEXICO', ',', 'PATAY', 'HUMAN', 'GIHIWA', 'ANG', 'TIYAN', 'ARON', 'KAWATON', 'ANG', 'WALA', 'PA', 'MATAWO', 'NGA', 'BATA', 'Usa', 'ka', 'mabdos', 'sa', 'Mexico', 'ang', ... | [0, 0, 5, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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 |
4,405 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Boluntaryo', 'ang', 'mga', 'Christmas', 'party', 'sa', 'mga', 'tunghaan', 'ug', 'opisina', 'sa', 'Department', 'of', 'Education', '(', 'DepEd', ')', '.', 'Sumala', 'pa', 'sa', 'DepEd', ... | [0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 0, 0, 0, 0, 7, 8, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,406 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['2', 'KA', 'METEOR', 'SHOWER', ',', 'MAKITA', 'SA', 'PILIPINAS', 'KARONG', 'DISYEMBRE', 'Makita', 'ang', 'Geminid', 'Meteor', 'Shower', 'sugod', 'Disyembre', '4-17', 'nga', 'ang', 'peak'... | [0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 7, 8, 8, 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, 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] | cebuaner |
4,407 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['2', 'KAWATAN', ',', 'NALANDIG', 'SA', 'PRISOHAN', 'HUMAN', 'MABALIGYA', 'SA', 'TAG-IYA', 'ANG', 'GIKAWAT', 'NILA', 'NGA', 'MOTORSIKLO', 'Duha', 'ka', 'mga', 'kawatan', 'ang', 'nalandig'... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 1, 2, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 5, 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... | cebuaner |
4,408 | 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', 'P88', 'NGA', 'PLITE', 'HANGTOD', 'DISYEMBRE', '15', ',', '2022', 'Nagtanyag', 'ang', 'Cebu', 'Pacific', 'og', 'laing', 'promo', 'nga', 'P88', 'nga'... | [3, 4, 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, 5, 0, 0, 5, 0, 5, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,409 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['BABAYI', 'SA', 'ESTADOS', 'UNIDOS', 'GISULAY', 'PAG-ABRI', 'ANG', 'PURTAHAN', 'SA', 'EROPLANO', 'SAMTANG', 'NAGBIYAHE', ',', 'NIINGON', 'NGA', 'SI', 'JESUS', 'ANG', 'NAGPABUHAT', 'NIYA'... | [0, 0, 5, 6, 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, 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, 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... | cebuaner |
4,410 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['E-TRAVEL', 'GILUSAD', 'ALANG', 'SA', 'MAS', 'SAYON', 'NGA', 'PAGSULOD', 'SA', 'MGA', 'BIYAHERO', 'SA', 'PILIPINAS', 'Gilusad', 'ang', 'usa', 'ka', 'online', 'registration', 'system', 'a... | [7, 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, 5, 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, 3, 0, 0, 0, 7, 8, 8, 0, 3, 4, 4, 4, 4, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0... | cebuaner |
4,411 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['VIVA', 'MAGENTA', ',', 'GIDEKLARAR', 'SA', 'PANTONE', 'ISIP', 'COLOR', 'OF', 'THE', 'YEAR', 'ALANG', 'SA', '2023', 'Gideklarar', 'ang', 'Viva', 'Magenta', '18-1750', 'isip', 'Color', 'o... | [7, 8, 0, 0, 0, 3, 0, 7, 8, 8, 8, 0, 0, 0, 0, 0, 7, 8, 8, 0, 7, 8, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,412 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Usa', 'ka', 'pawikan', 'ang', 'napalgang', 'patay', 'dapit', 'sa', 'Silliman', 'Beach', 'sa', 'Barangay', 'Bantayan', 'ning', 'dakbayan', 'sa', 'Dumaguete', 'karong', 'gabii', ',', 'Dec... | [0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 5, 6, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,413 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nagmaya', 'karon', 'ang', 'pamilya', 'Ramirez', 'ning', 'dakbayan', 'sa', 'Dumaguete', 'human', 'nga', 'parehong', 'nakatapos', 'isip', 'Top', '1', 'ang', 'ilang', 'magsuon', 'sa', 'tag... | [0, 0, 0, 0, 1, 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, 1, 2, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0, 1, 0, 0, 3, 4, 4, 4, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 7, 8, 8, 0, 0, 0, 0, 0, 3, 4, 4, 4, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 0, 3, 4, 4, 4, 4, 0, 0, 0... | cebuaner |
4,414 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['FENG', 'SHUI', 'EXPERT', ':', '2023', 'MAO', 'ANG', 'TUIG', 'SA', 'PAG-MOVE', 'ON', 'Ang', '2023', 'mao'y', 'tuig', 'alang', 'sa', 'pag-move', 'on', 'ug', 'pag-let', 'go', ',', 'sumala'... | [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, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 0, 1, 2, 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, 1, 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 |
4,415 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['FRIENDSTER', 'IS', 'NOT', 'BACK', ':', 'DICT', 'NAGPASIDAAN', 'SA', 'PAGREHISTRO', 'SA', 'SITE', 'NGA', 'GIGAMIT', 'PARA', 'PHISHING', 'Nagpasidaan', 'ang', 'Department', 'of', 'Informa... | [7, 0, 0, 0, 0, 3, 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, 0, 0, 7, 0, 0, 7, 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, 7, 8, 8, 8, 8, 8, 8, 8, 0, 0, 0, 0, 0, 0, 3, 4, 4, 0, 0... | cebuaner |
4,416 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nagsugod', 'sa', 'pagdagsa', 'ang', 'mga', 'estudyante', 'sa', 'Silliman', 'University', 'sa', 'iconic', 'nga', 'Bossing', 'Tempura', 'stall', 'nga', 'sikat', 'sa', 'ilang', 'five-spice... | [0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,417 | 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', 'sikat', 'nga', 'artista', 'ang', 'moanhi', 'sa', 'Provincial', 'Oval', ',', 'Kagawasan', 'Freedom', 'Park', 'karong', 'December', '10', ',', '2022', 'alang', 'sa'... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 1, 2, 0, 1, 2, 0, 3, 0, 3, 4, 0, 1, 0, 3, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 0] | cebuaner |
4,418 | 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', 'P30', 'NGA', 'PLITE', 'HANGTOD', 'NOV.', '30', 'Nagtanyag', 'ang', 'Cebu', 'Pacific', 'og', 'P30', 'one-way', 'base', 'fare', '(', 'exclusive', 'an... | [3, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 6, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 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] | cebuaner |
4,419 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['DGTE', 'GIPASIDUNGGAN', 'SA', 'DOH', 'SA', 'KADAGHAN', 'SA', 'NABAKUNAHAN', 'BATOK', 'COVID-19', 'Nakadawat', 'ang', 'Dumaguete', 'City', 'og', 'tulo', 'ka', 'awards', 'atol', 'sa', '20... | [5, 0, 0, 3, 0, 0, 0, 0, 0, 7, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 8, 8, 0, 5, 6, 0, 0, 7, 8, 0, 3, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 2, 0, 0, 0, 0, 0, 1, 2, 2, 2, 0, 0, 3, 4, 4, 1, 2, 0, 3, 0, 1, 2, 0] | cebuaner |
4,420 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Aduna'y', 'rollback', 'sa', 'presyo', 'sa', 'petrolyo', ',', 'epektibo', 'ugmang', 'adlawa', ',', 'Nobyembre', '29', ',', '2022', '.'] Use the following schema: 1 = B-WIS: Beginning of ... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,421 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['TAXI', 'DRIVER', 'NA', ',', 'SINGER', 'PA', '!', 'Mao', 'kini', 'ang', 'nasaksihan', 'sa', 'usa', 'ka', 'pasahero', 'samtang', 'nagsakay', 'siya', 'ug', 'taxi', 'ngadto', 'sa', 'Sugbo.'... | [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] | cebuaner |
4,422 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Mahimong', 'molantaw', 'sa', 'livestream', 'sa', '2022', 'FIFA', 'World', 'Cup', 'sa', 'Pantawan', 'People’s', 'Park', ',', 'Rizal', 'Boulevard.', 'Ang', 'maong', 'kalihukan', ',', 'LIB... | [0, 0, 0, 0, 0, 0, 5, 6, 6, 0, 5, 6, 6, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,423 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['SCULPTURE', 'NGA', 'INGON', 'KA', 'GAMAY', 'SA', 'LEAD', 'SA', 'LAPIS', 'Mao', 'kini', 'ang', 'mga', 'hulagway', 'sa', 'mga', '"', 'Miniature', 'Sculpture', '"', 'ni', 'Renz', 'Guevarra... | [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, 5, 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, 0] | cebuaner |
4,424 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gilaoman', 'nga', 'aduna'y', 'rollback', 'sa', 'presyo', 'sa', 'gasolina', 'sa', 'mosunod', 'nga', 'semana', ',', 'sumala', 'pa', 'ni', 'Rodela', 'Romero', ',', 'assistant', 'director',... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 0] | cebuaner |
4,425 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['P33,000', 'NGA', 'NAT'L', 'MINIMUM', 'WAGE', 'ALANG', 'SA', 'GOV'T', 'WORKERS', ',', 'GISUGYOT', 'Usa', 'ka', 'grupo', 'sa', 'mga', 'trabahante', 'ang', 'nanawagan', '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, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 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, 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... | cebuaner |
4,426 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gipagawas', 'sa', 'NASA', 'ang', 'mga', 'close-up', 'shots', 'sa', 'Bulan', 'sa', 'Orion', 'spacecraft', 'isip', 'parte', 'sa', 'ilang', 'Artemis', 'I', 'mission.', 'Makita', 'sa', 'mga... | [0, 0, 3, 0, 0, 0, 0, 0, 5, 0, 7, 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] | cebuaner |
4,427 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['NAT'L', 'LAW', 'GIDEKLARAR', 'ANG', 'IKA-24', 'SA', 'NOBYEMBRE', 'MATAG', 'TUIG', 'ISIP', 'SPECIAL', 'HOLIDAY', 'SA', 'DUMAGUETE', 'CITY', 'Subay', 'sa', 'Republic', 'Act', 'No.', '7253... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 7, 8, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 6, 6, 0, 0, 0, 5, 6, 6, 0] | cebuaner |
4,428 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Mag-abri', 'og', 'bag-ong', 'museum', 'branch', 'ang', 'National', 'Museum', 'of', 'the', 'Philippines', 'aron', 'ipakita', 'ang', 'kultura', ',', 'kabilin', ',', 'ug', 'kasaysayan', 's... | [0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 5, 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, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 1, 2, 0, 0, 0] | cebuaner |
4,429 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['USA', 'KA', 'POTENSYAL', 'NGA', 'BAGYO', ',', 'MAHIMONG', 'MOSULOD', 'SA', 'PAR', 'SUNOD', 'SEMANA', ';', 'APAN', 'MAHIMO', 'PANG', 'MAGBAG-O', 'Usa', 'ka', 'potensyal', 'nga', 'bagyo',... | [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, 5, 6, 6, 6, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 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, 5, 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, 1... | cebuaner |
4,430 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['MISS', 'EARTH', 'QUEENS', 'AT', 'THE', 'CAMPUS', 'BY', 'THE', 'SEA', 'LOOK', ':', 'Candidates', 'of', 'the', 'Miss', 'Earth', '2022', 'pageant', 'visit', 'Silliman', 'University', 'on',... | [3, 4, 4, 0, 5, 6, 6, 6, 6, 0, 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, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0] | cebuaner |
4,431 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['GIINGONG', 'TAAS', 'NGA', 'OPISYAL', 'SA', 'NPA', 'SA', 'NEGROS', ',', 'NAPATAY', 'SA', 'PINUSILAY', 'SA', 'GUIHULNGAN', 'Usa', 'ka', 'giingong', 'taas', 'nga', 'opisyal', 'sa', 'New', ... | [0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4... | cebuaner |
4,432 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['DOH', ':', 'PH', ',', 'NAUSIK', 'ANG', 'KAPIN', '31-M', 'KA', 'COVID-19', 'VACCINE', 'DOSES', 'NGA', 'NAGKANTIDAD', 'OG', 'P15.6-B', 'Kapin', '31', 'milyon', 'shots', 'sa', 'Covid-19', ... | [3, 0, 5, 0, 0, 0, 0, 0, 0, 7, 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, 3, 4, 4, 4, 4, 4, 0, 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, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,433 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['SU', 'NIDEKLARAR', 'OG', 'CLIMATE', 'EMERGENCY', ';', 'PANAWAGAN', 'SA', 'DINALIANG', 'AKSYON', 'ALANG', 'SA', 'CLIMATE', 'CHANGE', 'Nagdeklarar', 'ang', 'Silliman', 'University', '(', ... | [3, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 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... | cebuaner |
4,434 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Ang', 'telebisyon', ',', 'aduna'y', 'importanteng', 'papel', 'sa', 'pagpakaylap', 'og', 'mga', 'importante', 'ug', 'tinuod', 'nga', 'impormasyon', 'ngadto', 'sa', 'matag', 'panimalay.',... | [0, 0, 0, 0, 0, 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] | cebuaner |
4,435 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['SANDUROT', 'FESTIVAL', ',', 'PLANO', 'NGA', 'MOSALMOT', 'SA', 'SINULOG', 'FESTIVAL', '2023', 'Gipaambit', 'ni', 'Mayor', 'Felipe', 'Remollo', 'nga', 'nakigsulti', 'siya', 'ni', 'Cebu', ... | [7, 8, 0, 0, 0, 0, 0, 7, 8, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 5, 6, 0, 1, 2, 2, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 7, 8, 0, 5, 6, 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, 0, 0, 0, 0, 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, 7, 8, 0, 0, 0, 0, 0, 0... | cebuaner |
4,436 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['BINILANGGO', 'SA', 'BACONG', 'PNP', ',', 'NAKAESKAPO', 'Usa', 'ka', 'Person', 'Under', 'Police', 'Custody', '(', 'PUPC', ')', 'sa', 'Bacong', 'PNP', 'ang', 'nakaeskapo', 'gikan', 'sa', ... | [0, 0, 1, 2, 0, 0, 0, 0, 7, 8, 8, 8, 8, 8, 8, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 2, 0, 1, 2, 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, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 6, 0, 0, 0, 0, 0... | cebuaner |
4,437 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['BES', ',', 'NAA', 'PA', 'KA'Y', 'CHANCE', 'NGA', 'MAHIMONG', 'MILYONARYO', '!', 'Wala', 'pa', 'gihapon', 'naka-jackpot', 'sa', 'kapin', 'P230', 'milyon', 'nga', 'premyo', 'sa', 'ultra',... | [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] | cebuaner |
4,438 | 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', 'mas', 'gipalambo', 'nga', 'kopya', 'sa', 'karaang', 'mapa', 'sa', 'Isla', 'sa', 'Negros', ',', 'base', 'sa', '"', 'Carta', 'Hydrographica', 'y', 'Chorographica', '... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 6, 0, 0, 0, 7, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 0, 0, 0, 7, 0, 0, 0, 1, 2, 2, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0] | cebuaner |
4,439 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Anaa', 'na', 'sa', 'Pilipinas', 'ang', 'streaming', 'platform', 'nga', 'Disney+', ',', 'nga', 'may', 'library', 'sa', 'mga', 'classic', 'Disney', 'films', ',', 'series', ',', 'ug', 'uba... | [0, 0, 0, 5, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0] | cebuaner |
4,440 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gilusad', 'sa', 'NASA', ''s', 'Space', 'Launch', 'System', 'rocket', 'ug', 'NASA', ''s', 'Orion', 'Spacecraft', 'ang', '#', 'Artemis', '1', 'test', 'flight', 'paingon', 'sa', 'Moon', 'g... | [0, 0, 7, 8, 8, 8, 8, 0, 0, 7, 8, 8, 8, 0, 0, 7, 8, 0, 0, 0, 0, 5, 0, 0, 5, 6, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,441 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['TRUMP', 'MOLANSAR', 'NA', 'SAB', 'PAGKA-PRESIDENTE', 'SA', 'AMERIKA', 'SA', '2024', 'Gilusad', 'ni', 'Donald', 'Trump', 'ang', 'iyang', 'presidential', 'bid', 'alang', 'sa', 'tuig', '20... | [1, 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, 3, 0, 0, 0, 0, 1, 0, 0, 5, 6, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 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, 7, 0, 0] | cebuaner |
4,442 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gi-isyu', 'si', 'President', 'Ferdinand', 'Marcos', 'Jr.', 'ang', 'Proclamation', 'No.', '90', ',', 'nga', 'nagdeklarar', 'sa', 'mga', 'regular', 'holidays', 'ug', 'special', '(', 'non-... | [0, 0, 0, 1, 2, 2, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,443 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Mahitabo', 'ang', '''', 'Harry', 'Styles', ':', 'Love', 'On', 'Tour', ''', 'sa', 'Pilipinas', 'karong', 'Marso', '14', ',', '2023', 'sa', 'Philippine', 'Arena.', 'Magsugod', 'ang', 'pre... | [0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,444 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['LA', 'LIBERTAD', 'NANGHATAG', 'OG', 'LIBRE', 'NGA', 'PANIUDTO', 'SA', 'TANANG', 'ESTUDYANTE', 'SA', 'KINDERGARTEN', ',', 'ELEMENTARYA', 'Nanghatag', 'og', 'libre', 'nga', 'paniudto', 'a... | [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, 5, 6, 0, 0, 0, 1, 2, 2, 2, 2, 0, 0, 0, 3, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 1, 2, 0, 0, 3, 4, 4, 4, 4, 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, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,445 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['5-ANYOS', 'NGA', 'BATANG', 'BABAYI', 'KINSA', 'ANAK', 'SA', 'USA', 'KA', 'NEGRENSE', ',', 'NAKADAOG', 'SA', 'JIU-JITSU', 'WORLD', 'CHAMPIONSHIP', 'Usa', 'ka', '5-anyos', 'nga', 'batang'... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 7, 8, 8, 0, 0, 0, 1, 2, 2, 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, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 5, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 7, 8, 8, 8, 0, 7... | cebuaner |
4,446 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['WALA', 'PA'Y', 'NAKADAOG.', 'Wala', 'pa'y', 'nakadaog', 'sa', 'kapin', 'P214', 'milyon', 'nga', 'jackpot', 'prize', 'sa', 'Ultra', 'Lotto', '6', '/', '58', 'draw', 'niadtong', 'Biyernes... | [0, 0, 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, 0, 0, 0] | cebuaner |
4,447 | 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', 'P1', 'NGA', 'PLETE', 'SA', 'ILANG', ''11.11', ''', 'PROMO', 'Nagtanyag', 'pag-usab', 'ang', 'Cebu', 'Pacific', 'sa', 'ilang', 'trademark', 'nga', '... | [3, 4, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 5, 0, 5, 6, 6, 0... | cebuaner |
4,448 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['EKONOMIYA', 'SA', 'PILIPINAS', 'PASPAS', 'NGA', 'NISAKA', 'NGADTO', 'SA', '7.6', '%', 'SA', 'IKATULONG', 'KWARTER', 'SA', '2022', 'Paspas', 'nga', 'nisaka', 'ang', 'ekonomiya', 'sa', 'P... | [0, 0, 5, 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, 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... | cebuaner |
4,449 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['DGTE', 'GIILA', 'NGA', 'IKA-3', 'SA', 'RANKING', 'SA', 'MGA', 'SYUDAD', 'SA', 'CENTRAL', 'VISAYAS', 'NGA', 'ADUNAY', 'PINAKATAAS', 'NGA', 'IHAP', 'SA', 'COVID-19', 'SAFETY', 'SEALS', 'S... | [5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 7, 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, 5, 6, 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, 7, 0, 0, 0, 0, 0, 0, 1, 2, 2, 2, 0, 0, 0, 0, 0, 1, 2... | cebuaner |
4,450 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nalakip', 'ang', 'Silliman', 'University', 'sa', '16', 'ka', 'mga', 'unibersidad', 'sa', 'Pilipinas', 'sa', '2023', 'Quacquarelli', 'Symonds', '(', 'QS', ')', 'Asia', 'University', 'Ran... | [0, 0, 3, 4, 0, 0, 0, 0, 0, 0, 5, 0, 0, 5, 6, 6, 6, 6, 6, 6, 6, 0] | cebuaner |
4,451 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Karong', 'adlawa', ',', 'Nobyembre', '8', ',', 'mao', 'ang', 'ika-9', 'nga', 'anibersaryo', 'sa', 'Super', 'Typhoon', 'Yolanda', ',', 'usa', 'sa', 'pinakamakamatay', 'nga', 'natural', '... | [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, 5, 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, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,452 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['UNEMPLOYMENT', 'NIUS-OS', 'SA', '5', '%', ',', 'APAN', 'UNDEREMPLOYMENT', 'NISAKA', 'SA', '15.4', '%', 'NIADTONG', 'SETYEMBRE', 'Nius-os', 'ang', 'unemployment', 'rate', 'sa', 'Pilipina... | [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, 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, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,453 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Karong', 'adlawa', ',', 'Nobyembre', '8', ',', '2022', ',', 'aduna'y', 'total', 'lunar', 'eclipse', 'ug', 'makita', 'kini', 'sa', 'Pilipinas', 'gikan', '5:19pm', 'hangtod', '9:58pm', ',... | [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] | cebuaner |
4,454 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['PNP', 'NAGPASIDAAN', 'SA', '"', 'IKAW', 'BA', ''TONG', 'NASA', 'VIDEO', '?', '"', 'SCHEME', 'Kinahanglang', 'likayan', 'sa', 'mga', 'Pilipino', 'sa', 'social', 'media', 'ang', 'clickbai... | [3, 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, 0, 3, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 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... | cebuaner |
4,455 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['MISS', 'UNIVERSE', 'PHILIPPINES', 'GIBUKSAN', 'NA', 'ANG', 'APLIKASYON', 'ALANG', 'SA', '2023', 'PAGEANT', 'NIINI', 'Opisyal', 'nga', 'gibuksan', 'sa', 'organisasyon', 'sa', 'Miss', 'Un... | [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, 3, 4, 4, 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, 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, 3, 4, 4, 0, 0, 0, 0... | cebuaner |
4,456 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nipanaw', 'na', 'ang', 'singer', 'nga', 'si', 'Aaron', 'Carter', 'sa', 'edad', 'nga', '34', 'anyos.', 'Sumala', 'pa', 'sa', 'taho', 'sa', 'TMZ', ',', 'napalgang', 'patay', 'si', 'Carter... | [0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 0, 0, 5, 6, 0, 0, 1, 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, 1, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 0] | cebuaner |
4,457 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Nakadawat', 'og', 'P100,000', 'cash', 'gift', 'ug', 'certificate', 'si', 'Ms.', 'Restituta', 'Partosa', ',', 'centenarian', 'awardee', 'sa', 'Zamboanguita', ',', 'gikan', 'sa', 'provinc... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 2, 0, 3, 1, 2, 2, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,458 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['DEPED', 'NAGPAHINUMDOM', 'SA', 'MGA', 'EMPLEYADO', 'NGA', 'LIKAYAN', 'ANG', 'RELASYON', ',', 'SOCIAL', 'MEDIA', 'CHATS', 'SA', 'MGA', 'ESTUDYANTE', 'GAWAS', 'SA', 'ESKWELAHAN', 'Nipagaw... | [3, 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, 7, 8, 8, 8, 8, 8, 8, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,459 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Posible', 'nga', 'aduna'y', 'dagdag-bawas', 'sa', 'presyo', 'sa', 'petrolyo', 'sa', 'mosunod', 'nga', 'semana', ',', 'sumala', 'pa', 'sa', 'Department', 'of', 'Energy', '(', 'DOE', ')',... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 0] | cebuaner |
4,460 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['DGTE', 'ADUNAY', 'PAMASKONG', 'HANDOG', 'NGA', 'P500', 'MATAG', 'USA', 'SA', '34,200', 'KA', 'INDIGENT', 'FAMILIES', ',', 'SENIOR', 'CITIZENS', ',', 'PWDs', 'Giaprobahan', 'ni', 'Mayor'... | [5, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 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, 0, 3, 4, 4, 4, 4, 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... | cebuaner |
4,461 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['UTANG', 'SA', 'PILIPINAS', 'ANAA', 'NA', 'SA', 'P13.52', 'TRILYON', 'Anaa', 'na', 'sa', 'P13.52', 'trilyon', 'ang', 'utang', 'sa', 'nasudnong', 'gobyerno', 'sa', 'Pilipinas', 'sa', 'kat... | [0, 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, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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 |
4,462 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Karong', 'Martes', ',', 'Nobyembre', '8', ',', '2022', ',', 'makasaksi', 'kita', 'sa', 'usa', 'ka', 'talagsaon', 'nga', 'Total', 'Lunar', 'Eclipse', 'karong', 'tuiga.', 'Makita', 'sab',... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 5, 6, 0, 0, 0, 0, 0, 5, 0, 5, 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] | cebuaner |
4,463 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['KAPIN', 'P29-M', 'ANG', 'GIBANABANA', 'NGA', 'KADAOT', 'SA', 'BAGYONG', 'PAENG', 'SA', 'NEGROS', 'ORIENTAL', 'Gibutyag', 'sa', 'Provincial', 'Agriculturist', 'Office', 'nga', 'anaa', 's... | [0, 0, 0, 0, 0, 0, 0, 7, 8, 0, 5, 6, 0, 0, 3, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,464 | 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', 'mag-uyab', 'nga', 'nagsuot', 'sa', 'ilang', 'Halloween', 'costume', 'nga', 'inspired', 'sa', 'Netflix', 'Series', 'nga', 'Money', 'Heist.', 'Nag-pose', 'sila', ... | [0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 7, 0, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 6, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 5, 0] | cebuaner |
4,465 | 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', 'aktres', 'nga', 'si', 'Sofia', 'Andres', 'sa', 'dihang', 'nibisita', 'siya', 'sa', 'LGU', 'sa', 'Bayawan', 'City', 'ug', 'Pepe', ''s', 'Place.', '|', '📸', 'Iba... | [0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 3, 0, 5, 6, 0, 5, 6, 6, 0, 0, 0] | cebuaner |
4,466 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['121', 'NA', 'ANG', 'PATAY', ',', 'KAPIN', '3-M', 'KA', 'MGA', 'INDIBIDWAL', 'ANG', 'APEKTADO', 'TUNGOD', 'SA', 'BAGYONG', 'PAENG', 'Nisaka', 'ngadto', 'sa', '121', 'ang', 'natala', 'nga... | [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, 7, 8, 0, 0, 0, 0, 0, 0, 3, 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, 0, 0, 0, 0, 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 |
4,467 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['DEPED', 'TUGUTAN', 'ANG', 'OPSYONAL', 'NGA', 'PAGSUL-OB', 'SA', 'FACE', 'MASK', 'SA', 'MGA', 'CLASSROOM', 'Sundon', 'sa', 'Department', 'of', 'Education', '(', 'DepEd', ')', 'ang', 'Exe... | [3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 0, 7, 8, 8, 8, 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, 3, 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, 1, 2, 2, 0... | cebuaner |
4,468 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Aduna'y', 'kausbanan', 'sa', 'presyo', 'sa', 'gasolina', 'sa', 'PetroGazz', ',', 'Petron', ',', 'Pilipinas', 'Shell', 'ug', 'SeaOil', 'ugmang', 'adlawa', ',', 'Nobyembre', '1', ',', '20... | [0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 0, 5, 6, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,469 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['₱2.7-MILYON', 'NGA', 'GITUOHANG', 'SHABU', ',', 'NASAKMIT', 'SA', 'CADAWINONAN', 'Nasakmit', 'sa', 'mga', 'awtoridad', 'ang', 'gituohang', 'shabu', 'nga', 'mobalor', 'sa', '₱2,744,344.0... | [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, 5, 6, 6, 6, 6, 6, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 2, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0] | cebuaner |
4,470 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Daw', 'nahimong', '"', 'exodus', '"', 'ang', 'pagdasok', 'sa', 'mga', 'pasahero', 'sa', 'Maayo', 'Shipping', 'sa', 'pantalan', 'sa', 'Bato', ',', 'Samboan', ',', 'Cebu', 'niadtong', 'Sa... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 0, 0, 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, 0, 0, 0, 0, 0, 7, 8, 8, 0] | cebuaner |
4,471 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Wala', 'nay', 'storm', 'signals', 'sa', 'Negros', 'Oriental', 'ug', 'Siquijor', 'samtang', 'nagpadayon', 'og', 'palayo', 'ang', 'Bagyong', '#', 'PaengPH', 'sa', 'maong', 'mga', 'probins... | [0, 0, 0, 0, 0, 5, 6, 0, 5, 0, 0, 0, 0, 0, 7, 8, 8, 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] | cebuaner |
4,472 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Usa', 'ka', 'babaye', 'ang', 'kompirmadong', 'patay', 'sa', 'pagkuso-kuso', 'sa', 'Bagyong', '#', 'PaengPH', 'sa', 'Negros', 'Oriental.', 'Ang', 'biktima', ',', 'giila', 'nga', 'si', 'E... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0, 5, 6, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 5, 6, 6, 6, 6, 0, 0, 0, 5, 0, 0, 0, 3, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,473 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['LAING', 'BAGYO', 'GIKABALAK-AN', 'NGA', 'MOSULOD', 'SA', 'PAR', 'KARONG', 'LUNES', 'Wala', 'pa', 'nakatabok', 'sa', 'nasud', 'ang', 'Bagyong', '#', 'PaengPH', ',', 'apan', 'gikabalak-an... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 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, 5, 6, 0, 0, 0, 0, 7, 0, 0, 3, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,474 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Kung', 'plano', 'nimong', 'mobisita', 'sa', 'imong', 'mga', 'nitaliwan', 'nang', 'mga', 'minahal', 'sa', 'kinabuhi', 'karong', '#', 'Undas2022', ',', 'kinahanglan', 'kang', 'magdala', '... | [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, 5, 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, 7, 0] | cebuaner |
4,475 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Halos', 'di', 'na', 'makita', 'sa', 'mapa', 'ang', 'Pilipinas', 'tungod', 'kay', 'kini', 'gitabunan', 'sa', 'mga', 'panganod', 'nga', 'dala', 'sa', 'Bagyong', '#', 'PaengPH.', 'Nagpabil... | [0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 5, 6, 0, 5, 6, 0, 0, 5, 0, 0, 0, 0, 0] | cebuaner |
4,476 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Wala', 'naluwas', 'sa', 'baha', 'ang', 'Siaton', 'District', 'Hospital', 'karong', 'adlawa', ',', 'Oct.', '28', ',', '2022', ',', 'human', 'gikuso-kuso', 'sa', 'Bagyong', '#', 'PaengPH'... | [0, 0, 0, 0, 0, 5, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 0, 5, 6, 0] | cebuaner |
4,477 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Suspendido', 'na', 'ang', 'tanang', 'biyahe', 'sa', 'Maayo', 'Shipping', ',', 'Inc.', 'karong', 'adlawa', ',', 'Oct.', '28', ',', '2022', ',', 'human', 'nga', 'gipaubos', 'ang', 'Negros... | [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, 5, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,478 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['BREAKING', ':', 'TIBUOK', 'NEGROS', 'ORIENTAL', ',', 'GIPAUBOS', 'NA', 'SA', 'SIGNAL', 'NO.', '1', 'TUNGOD', 'SA', 'BAGYONG', 'PAENG', 'Giisa', 'na', 'sa', 'PAGASA', 'ang', 'Tropical', ... | [0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 5, 6, 0, 0, 5, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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 |
4,479 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Dili', 'na', 'maagian', 'ang', 'taytayan', 'sa', 'Fatima', ',', 'Sta.', 'Catalina', 'tungod', 'sa', 'lalom', 'ug', 'kusog', 'nga', 'baha', 'nga', 'dala', 'sa', 'Bagyong', '#', 'PaengPH'... | [0, 0, 0, 0, 0, 0, 5, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,480 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Taas', 'na', 'ang', 'lebel', 'sa', 'tubig', 'sa', 'Datag', ',', 'Siaton', 'taliwala', 'sa', 'pagkuso-kuso', 'sa', 'Bagyong', '#', 'PaengPH', 'sa', 'pipila', 'ka', 'bahin', 'sa', 'Negros... | [0, 0, 0, 0, 0, 0, 0, 5, 6, 6, 0, 0, 0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 5, 6] | cebuaner |
4,481 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gibaha', 'sab', 'ang', 'Negros', 'Oriental', 'State', 'University', '-', 'Siaton', 'Campus', 'karong', 'adlawa', ',', 'Oct.', '28', ',', '2022', ',', 'tungod', 'sa', 'mga', 'pag-ulan', ... | [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, 7, 8, 8, 0] | cebuaner |
4,482 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Kanselado', 'karon', 'ang', 'pipila', 'ka', 'biyahe', 'sa', 'OceanJet', 'gikan', 'ug', 'padulong', 'sa', 'Dumaguete', 'karong', 'adlawa', ',', 'Oct.', '28', ',', '2022', ',', 'tungod', ... | [0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0] | cebuaner |
4,483 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['DAGKONG', 'BALOD', ',', 'NASINATI', 'SA', 'KADAGATAN', 'SA', 'NEGROS', 'UG', 'SIQUIJOR', 'Daw', 'murag', 'roller', 'coaster', 'ang', 'biyahe', 'sa', 'usa', 'ka', 'barge', 'gikan', 'ug',... | [0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0] | cebuaner |
4,484 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gipaubos', 'na', 'sa', 'Signal', 'No.', '1', 'ang', 'amihanang', 'bahin', 'sa', 'Negros', 'Oriental', 'tungod', 'sa', 'hulga', 'sa', 'Bagyong', '#', 'PaengPH.', 'Kini', 'sumala', 'pa', ... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 7, 8, 8, 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, 0, 5, 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, 0, 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, 5, 6, 0, 5, 0, 0... | cebuaner |
4,485 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['AMPING', ',', 'GUIHULNGAN', '!', 'Magpabiling', 'suspendido', 'ang', 'mga', 'klase', 'sa', 'tanang', 'lebel', 'ug', 'tanang', 'mga', 'eskwelahan', '(', 'pribado', 'ug', 'pampubliko', ')... | [0, 0, 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, 7, 8, 8, 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, 5, 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] | cebuaner |
4,486 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Lalom', 'nga', 'baha', 'niigo', 'sa', 'pipila', 'ka', 'bahin', 'sa', 'Guihulngan', 'City', 'karong', 'hapon', ',', 'Oct.', '26', ',', '2022', 'tungod', 'sa', 'way', 'puas', 'nga', 'pag-... | [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, 7, 8, 8, 0] | cebuaner |
4,487 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['347', 'TYPHOID', 'FEVER', 'CASES', 'NATALA', 'SA', 'NEGOR', ';', '4', 'ANG', 'NAMATAY', 'Nakatala', 'ang', 'probinsiya', 'sa', 'Negros', 'Oriental', 'og', '347', 'ka', 'mga', 'kaso', 's... | [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, 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, 0... | cebuaner |
4,488 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['CEBU-BAGUIO', 'NGA', 'BIYAHE', 'MAGSUGOD', 'KARONG', 'DISYEMBRE', '16', 'Motanyag', 'ang', 'Philippine', 'Airlines', 'og', 'direct', 'flights', 'sa', 'Cebu', 'ug', 'Baguio', 'City', 'su... | [5, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 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, 7, 8, 8, 0, 0, 7, 8, 8, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,489 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Pormal', 'nang', 'gideklarar', 'sa', 'Malacañang', 'nga', 'special', 'non-working', 'holiday', 'ang', 'Biyernes', ',', 'Oct.', '28', ',', '2022', ',', 'isip', 'pagsaulog', 'sa', 'Buglas... | [0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 0] | cebuaner |
4,490 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Makita', 'ang', 'labing', 'pagdag-om', 'sa', 'kalangitan', 'dapit', 'sa', 'Freedom', 'Park', 'ning', 'dakbayan', 'sa', 'Dumaguete', 'karong', 'hapon', ',', 'Oct.', '26', ',', '2022', ',... | [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, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0] | cebuaner |
4,491 | 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', 'Tayasan', 'karong', 'adlawa', ',', 'Oct.', '26', ',', '2022', ',', 'tungod', 'sa', 'way', 'puas', 'nga', 'pag-ulan', 'nga', 'dala', 'sa', 'Bagyong', '#', 'PaengP... | [0, 0, 0, 5, 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, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0] | cebuaner |
4,492 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['Gipaubos', 'ang', 'habagatang', 'bahin', 'sa', 'Negros', 'Oriental', 'ug', 'Siquijor', 'sa', 'ORANGE', 'RAINFALL', 'WARNING', 'sa', 'PAGASA', 'tungod', 'sa', 'pag-ulan', 'nga', 'dala', ... | [0, 0, 0, 0, 0, 5, 6, 0, 5, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | cebuaner |
4,493 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['KANHING', 'SOLICITOR', 'GENERAL', 'FLORIN', 'HILBAY', ',', 'GINGANLAN', 'NGA', 'BAG-ONG', 'DEAN', 'SA', 'SU', 'COLLEGE', 'OF', 'LAW', 'Ginganlan', 'isip', 'bag-ong', 'dean', 'sa', 'Sill... | [0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 1, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 1, 2, 2, 0, 0, 0, 0, 1, 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, 1, 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 0... | cebuaner |
4,494 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['"', 'ABI', 'GURO', 'ANI', 'NIYA', 'INSPECTOR', 'KO', '"', '🥲', 'Viral', 'karon', 'sa', 'social', 'media', 'ang', 'Silliman', 'University', 'student', 'nga', 'si', 'Demie', 'Haley', 'Re... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 0, 0, 0, 1, 2, 2, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 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, 5, 0, 1, 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... | cebuaner |
4,495 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['PRES.', 'MARCOS', ',', 'GILAOMANG', 'IMANDO', 'ANG', 'OPTIONAL', 'NGA', 'PAGSUL-OB', 'OG', 'FACE', 'MASKS', 'INDOORS', 'Gibutyag', 'ni', 'DOT', 'Sec.', 'Christina', 'Frasco', 'nga', 'ni... | [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 1, 2, 0, 0, 0, 0, 1, 2, 2, 0, 7, 8, 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] | cebuaner |
4,496 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['NEGOR', 'GIIMBITAR', 'SI', 'PRES.', 'MARCOS', 'SA', 'PAGSAULOG', 'SA', 'BUGLASAN', 'FESTIVAL', 'Giimbitar', 'sa', 'provincial', 'government', 'si', 'Presidente', 'Ferdinand', 'Marcos', ... | [5, 0, 0, 0, 1, 0, 0, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 2, 2, 0, 0, 0, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 1, 2, 0, 0, 0, 3, 4, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 2, 0, 5, 6, 6, 6, 6, 0, 0, 1, 2, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
4,497 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['LAAG', 'NA', 'TA', 'SA', 'BUGLASAN', '!', 'Ubani', 'si', 'Aunty', 'Farrah', 'sa', 'iyang', 'pagsuroy', 'sa', 'mga', 'booth', 'sa', 'Pamplona', ',', 'Ayungon', ',', 'Tanjay', 'City', ','... | [0, 0, 0, 0, 7, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 0, 5, 6, 0, 0, 5, 0, 7, 0, 0] | cebuaner |
4,498 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['LAAG', 'NA', 'TA', 'SA', 'BUGLASAN', '!', 'Ubani', 'si', 'Aron', 'Tsupon', 'sa', 'iyang', 'pagsuroy', 'sa', 'mga', 'booth', 'sa', 'San', 'Jose', ',', 'Zamboanguita', ',', 'Mabinay', ','... | [0, 0, 0, 0, 7, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 7, 8, 0, 7, 0, 7, 0, 7, 0, 0, 7, 0, 7, 0, 0] | cebuaner |
4,499 | What is the tagged array of these Cebuano tokenized words using the BIO encoding schema for the named entity recognition (NER) task? ['DGTE', 'GI-ADJUST', 'ANG', 'CURFEW', 'HOURS', ':', '2:00AM-4:00AM', 'MATAG', 'ADLAW', 'ATOL', 'SA', 'PAGSAULOG', 'SA', 'BUGLASAN', ',', 'CHARTER', ',', 'PASKO', 'Gi-adjust', 'ang', 'cur... | [5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0... | cebuaner |
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