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new_setof_words_NER

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train · 851 rows

id stringclasses 1 value	tokens sequencelengths 1 51	pos_tags sequencelengths 1 51	chunk_tags sequencelengths 1 51	ner_tags sequencelengths 1 51
1	[ "Mason", "Elin" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Xavi", "Charlie" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Loïs" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Stijn", "Juul" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Niek", "Mara" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Tobias", "Scott" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Noor", "Hall" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Epe" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "Rotterdam" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "Dex" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Thijs", "Ella" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Rosie" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Sam", "Green" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Olivier", "Sofia" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Chloé" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Zaandam" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "Eindhoven" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "The Hague" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "Teun", "Emily" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Remember", "to", "enjoy", "the", "learning", "process", "." ]	[ 1, 7, 1, 6, 1, 9, 5 ]	[ 0, 0, 0, 0, 0, 0, 0 ]	[ 0, 0, 0, 0, 0, 0, 0 ]
1	[ "Tess" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Yara", "Lewis" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Nijmegen" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "Bussum" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "Samuel" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Burgum" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "Willem", "Morris" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Tiel" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "Julie", "Stevens" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Mason", "Mitchell" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Sofie" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Hengelo" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "The Hague" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "Fenna", "Teuling" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Jan", "Julie" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Teun" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Door", "akkoord", "te", "gaan", "met", "een", "of", "meer", "van", "deze", "doeleinden", ",", "ga", "je", "ook", "de", "volgende", "gegevensverwerking", ":", "automatisch", "verzonden", "apparaat", "kenmerken", "ter", "identificatie", "ontvangen", "en", "gebruiken", "offline", "gegevens", "elkaar", "matchen", "combineren", "(", "waaronder", "het", "koppelen", "online", "verzamelde", "aan", "accountgegevens", "voor", "aangegeven", "wanneer", "bent", "ingelogd", ")", "verschillende", "apparaten", "linken", "." ]	[ 9, 9, 7, 1, 7, 9, 7, 9, 7, 12, 9, 5, 1, 28, 7, 12, 3, 9, 5, 3, 1, 9, 9, 7, 9, 1, 7, 1, 3, 9, 28, 1, 1, 5, 7, 12, 1, 3, 3, 7, 9, 7, 3, 7, 1, 16, 5, 3, 9, 1, 5 ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
1	[ "Elias" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Wageningen" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "Pepijn", "Lisa" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Sophia", "Westra" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Isa", "Hughes" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Hilversum" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "Lenn" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Teun", "Ward" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Nieuwerkerk aan den IJssel" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "Nolan", "Ayla" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "James" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Arthur" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Oosterwolde" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "Hugo", "Fien" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Tobias", "Sophia" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Vince", "Hill" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Cas" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Wieringermeer" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "Vera", "Evers" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Daniël", "Amira" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Morris", "Sanders" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Teun", "Koopmans" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Esmee" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Loïs", "Vogels" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Nieuw-Vennep" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "Leidschendam" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "Olivia", "Vermeer" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Mila", "Hendriks" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Vleuten" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "Maeve", "Bakker" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Dean", "Aarts" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Floris" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Milan" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Scott", "Maya" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Nijkerk" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "Juna" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Jaxx", "Lou" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "De", "verschillen", "werden", "alleen", "maar", "uitvergroot", "." ]	[ 12, 9, 1, 7, 7, 1, 5 ]	[ 0, 0, 0, 0, 0, 0, 0 ]	[ 0, 0, 0, 0, 0, 0, 0 ]
1	[ "Tijn", "Mitchell" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Cas", "Naomi" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Hilversum" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "Boris" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Heerhugowaard" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "Lou" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Boaz", "Stewart" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Amy" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Joep", "Lieke" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Boven-Digoel" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "Benjamin", "Jansen" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Ties", "Isa" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Jayden" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Amir", "Feline" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Schiedam" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "Amersfoort" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "Sofia" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Jip" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Ivy" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Jens" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Fedde", "Juna" ]	[ 22, 22 ]	[ 11, 11 ]	[ 1, 2 ]
1	[ "Weesp" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "Oosterhout" ]	[ 22 ]	[ 11 ]	[ 4 ]
1	[ "Vera" ]	[ 22 ]	[ 11 ]	[ 1 ]
1	[ "Zaltbommel" ]	[ 22 ]	[ 11 ]	[ 4 ]

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Number of rows:

1,064