Datasets:
procit008
/
new_setof_words_NER

Dataset card Viewer Files Community
2
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 ]