Datasets:
missvector
/
python-course

Dataset card Data Studio Files Community
1
lemmas
stringlengths
1
20
pos
sequencelengths
2
2
help
[ "help", "NOUN" ]
to
[ "to", "PART" ]
deck
[ "deck", "VERB" ]
up
[ "up", "ADP" ]
she
[ "her", "PRON" ]
a
[ "a", "DET" ]
sign
[ "sign", "NOUN" ]
of
[ "of", "ADP" ]
dignity
[ "dignity", "NOUN" ]
[ " ", "SPACE" ]
a
[ "a", "DET" ]
garish
[ "garish", "ADJ" ]
flag
[ "flag", "NOUN" ]
be
[ "be", "NOUN" ]
I
[ "i", "PRON" ]
will
[ "will", "AUX" ]
call
[ "call", "VERB" ]
upon
[ "upon", "SCONJ" ]
you
[ "you", "PRON" ]
anon
[ "anon", "PROPN" ]
[ " ", "SPACE" ]
for
[ "for", "ADP" ]
some
[ "some", "DET" ]
advantage
[ "advantage", "NOUN" ]
to
[ "to", "ADP" ]
yourself
[ "yourself", "PRON" ]
I
[ "i", "PRON" ]
hope
[ "hope", "VERB" ]
so
[ "so", "ADV" ]
[ " ", "SPACE" ]
sir
[ "sir", "NOUN" ]
[ " ", "SPACE" ]
for
[ "for", "SCONJ" ]
I
[ "i", "PRON" ]
have
[ "have", "VERB" ]
about
[ "about", "ADP" ]
I
[ "me", "PRON" ]
many
[ "many", "ADJ" ]
parcel
[ "parcels", "NOUN" ]
of
[ "of", "ADP" ]
charge
[ "charge", "NOUN" ]
learn
[ "learn", "VERB" ]
he
[ "him", "PRON" ]
forbearance
[ "forbearance", "NOUN" ]
from
[ "from", "ADP" ]
so
[ "so", "ADV" ]
foul
[ "foul", "ADV" ]
a
[ "a", "DET" ]
wrong
[ "wrong", "ADJ" ]
catesby
[ "catesby", "PROPN" ]
and
[ "and", "CCONJ" ]
thrice
[ "thrice", "NOUN" ]
cry
[ "cried", "VERB" ]
[ " ", "SPACE" ]
courage
[ "courage", "NOUN" ]
[ " ", "SPACE" ]
father
[ "father", "NOUN" ]
[ " ", "SPACE" ]
fight
[ "fight", "VERB" ]
it
[ "it", "PRON" ]
out
[ "out", "ADP" ]
[ " ", "SPACE" ]
how
[ "how", "SCONJ" ]
art
[ "art", "NOUN" ]
thou
[ "thou", "NOUN" ]
fishifie
[ "fishified", "VERB" ]
[ " ", "SPACE" ]
now
[ "now", "ADV" ]
be
[ "is", "AUX" ]
he
[ "he", "PRON" ]
for
[ "for", "ADP" ]
the
[ "the", "DET" ]
numbersnurse
[ "numbersnurse", "ADJ" ]
good
[ "good", "ADJ" ]
lady
[ "ladies", "NOUN" ]
[ " ", "SPACE" ]
let
[ "let", "VERB" ]
s
[ "s", "PRON" ]
go
[ "go", "VERB" ]
[ " ", "SPACE" ]
yes
[ "yes", "INTJ" ]
[ " ", "SPACE" ]
yes
[ "yes", "INTJ" ]
[ " ", "SPACE" ]
yes
[ "yes", "INTJ" ]
[ " ", "SPACE" ]
the
[ "the", "DET" ]
senatelady
[ "senatelady", "ADJ" ]
capulet
[ "capulet", "NOUN" ]
which
[ "which", "DET" ]
way
[ "way", "NOUN" ]
to
[ "to", "PART" ]
be
[ "be", "AUX" ]
prevent
[ "prevented", "VERB" ]
[ " ", "SPACE" ]
if
[ "if", "SCONJ" ]
to
[ "to", "PART" ]
be
[ "be", "AUX" ]
I
[ "i", "PRON" ]
have
[ "had", "AUX" ]