Datasets:
missvector
/
python-course

Dataset card Data Studio Files Community
1
lemmas
stringlengths
1
20
pos
sequencelengths
2
2
be
[ "was", "AUX" ]
a
[ "a", "DET" ]
poor
[ "poor", "ADJ" ]
groom
[ "groom", "NOUN" ]
of
[ "of", "ADP" ]
thy
[ "thy", "PRON" ]
stable
[ "stable", "ADJ" ]
[ " ", "SPACE" ]
king
[ "king", "NOUN" ]
ay
[ "ay", "NOUN" ]
[ " ", "SPACE" ]
but
[ "but", "CCONJ" ]
not
[ "not", "PART" ]
fright
[ "frighted", "VERB" ]
I
[ "me", "PRON" ]
[ " ", "SPACE" ]
therefore
[ "therefore", "ADV" ]
I
[ "i", "PRON" ]
ll
[ "ll", "AUX" ]
sleep
[ "sleep", "VERB" ]
again
[ "again", "ADV" ]
come
[ "come", "VERB" ]
buy
[ "buy", "NOUN" ]
of
[ "of", "ADP" ]
I
[ "me", "PRON" ]
[ " ", "SPACE" ]
come
[ "come", "VERB" ]
[ " ", "SPACE" ]
come
[ "come", "VERB" ]
buy
[ "buy", "NOUN" ]
[ " ", "SPACE" ]
come
[ "come", "VERB" ]
buy
[ "buy", "VERB" ]
thou
[ "thou", "PROPN" ]
hadst
[ "hadst", "ADP" ]
a
[ "a", "DET" ]
richard
[ "richard", "NOUN" ]
[ " ", "SPACE" ]
till
[ "till", "SCONJ" ]
a
[ "a", "DET" ]
richard
[ "richard", "NOUN" ]
kill
[ "killed", "VERB" ]
he
[ "him", "PRON" ]
king
[ "king", "PROPN" ]
richard
[ "richard", "PROPN" ]
iii
[ "iii", "PROPN" ]
when
[ "when", "SCONJ" ]
with
[ "with", "ADP" ]
his
[ "his", "PRON" ]
knee
[ "knees", "NOUN" ]
he
[ "he", "PRON" ]
kiss
[ "kiss", "VERB" ]
d
[ "d", "X" ]
the
[ "the", "DET" ]
cretan
[ "cretan", "PROPN" ]
strand
[ "strand", "PROPN" ]
of
[ "of", "ADP" ]
threescore
[ "threescore", "NOUN" ]
and
[ "and", "CCONJ" ]
two
[ "two", "NUM" ]
year
[ "years", "NOUN" ]
[ " ", "SPACE" ]
a
[ "a", "DET" ]
silly
[ "silly", "ADJ" ]
timesweet
[ "timesweet", "NOUN" ]
sister
[ "sister", "NOUN" ]
[ " ", "SPACE" ]
let
[ "let", "VERB" ]
I
[ "me", "PRON" ]
live
[ "live", "VERB" ]
indeed
[ "indeed", "ADV" ]
[ " ", "SPACE" ]
you
[ "you", "PRON" ]
shall
[ "shall", "AUX" ]
not
[ "not", "PART" ]
friar
[ "friar", "VERB" ]
laurence
[ "laurence", "NOUN" ]
our
[ "our", "PRON" ]
sorrow
[ "sorrow", "NOUN" ]
with
[ "with", "ADP" ]
our
[ "our", "PRON" ]
comfort
[ "comfort", "NOUN" ]
woe
[ "woe", "NOUN" ]
s
[ "s", "PART" ]
scene
[ "scene", "NOUN" ]
[ " ", "SPACE" ]
world
[ "world", "PROPN" ]
s
[ "s", "PART" ]
shame
[ "shame", "NOUN" ]
[ " ", "SPACE" ]
grave
[ "grave", "PROPN" ]
s
[ "s", "NOUN" ]
due
[ "due", "ADJ" ]
by
[ "by", "ADP" ]
life
[ "life", "NOUN" ]
usurp
[ "usurp", "VERB" ]
d
[ "d", "X" ]
my
[ "my", "PRON" ]
mildness
[ "mildness", "NOUN" ]
hath
[ "hath", "NOUN" ]