Datasets:
missvector
/
python-course

Dataset card Data Studio Files Community
1
lemmas
stringlengths
1
20
pos
sequencelengths
2
2
be
[ "is", "AUX" ]
far
[ "far", "ADV" ]
beyond
[ "beyond", "ADP" ]
a
[ "a", "DET" ]
prince
[ "prince", "NOUN" ]
s
[ "s", "PART" ]
delicate
[ "delicates", "NOUN" ]
[ " ", "SPACE" ]
tis
[ "tis", "NOUN" ]
a
[ "a", "DET" ]
villain
[ "villain", "NOUN" ]
[ " ", "SPACE" ]
sir
[ "sir", "NOUN" ]
and
[ "and", "CCONJ" ]
[ " ", "SPACE" ]
for
[ "for", "ADP" ]
that
[ "that", "DET" ]
dowry
[ "dowry", "NOUN" ]
[ " ", "SPACE" ]
I
[ "i", "PRON" ]
ll
[ "ll", "AUX" ]
assure
[ "assure", "VERB" ]
her
[ "her", "PRON" ]
ofto
[ "ofto", "NOUN" ]
bless
[ "bless", "VERB" ]
the
[ "the", "DET" ]
bed
[ "bed", "NOUN" ]
of
[ "of", "ADP" ]
majesty
[ "majesty", "PROPN" ]
againof
[ "againof", "PROPN" ]
that
[ "that", "DET" ]
sweet
[ "sweet", "ADJ" ]
way
[ "way", "NOUN" ]
I
[ "i", "PRON" ]
be
[ "was", "AUX" ]
in
[ "in", "ADP" ]
to
[ "to", "ADP" ]
despair
[ "despair", "NOUN" ]
be
[ "are", "AUX" ]
they
[ "they", "PRON" ]
return
[ "returned", "VERB" ]
to
[ "to", "ADP" ]
the
[ "the", "DET" ]
court
[ "court", "NOUN" ]
do
[ "did", "AUX" ]
not
[ "not", "PART" ]
attend
[ "attend", "VERB" ]
he
[ "him", "PRON" ]
as
[ "as", "SCONJ" ]
we
[ "we", "PRON" ]
ride
[ "rode", "VERB" ]
[ " ", "SPACE" ]
I
[ "i", "PRON" ]
thinkgo
[ "thinkgo", "VERB" ]
hence
[ "hence", "ADV" ]
in
[ "in", "ADP" ]
debt
[ "debt", "NOUN" ]
[ " ", "SPACE" ]
and
[ "and", "CCONJ" ]
therefore
[ "therefore", "ADV" ]
[ " ", "SPACE" ]
like
[ "like", "ADP" ]
a
[ "a", "DET" ]
cipher
[ "cipher", "NOUN" ]
last
[ "last", "ADJ" ]
night
[ "night", "NOUN" ]
[ " ", "SPACE" ]
I
[ "i", "PRON" ]
hear
[ "hear", "VERB" ]
[ " ", "SPACE" ]
they
[ "they", "PRON" ]
lie
[ "lay", "VERB" ]
at
[ "at", "ADP" ]
northampton
[ "northampton", "PROPN" ]
blue
[ "blue", "PROPN" ]
[ " ", "SPACE" ]
my
[ "my", "PRON" ]
lord
[ "lord", "PROPN" ]
paris
[ "paris", "PROPN" ]
he
[ "he", "PRON" ]
caper
[ "capers", "VERB" ]
nimbly
[ "nimbly", "ADV" ]
in
[ "in", "ADP" ]
a
[ "a", "DET" ]
lady
[ "lady", "NOUN" ]
s
[ "s", "PART" ]
chamberfor
[ "chamberfor", "ADV" ]
more
[ "more", "ADJ" ]
amazement
[ "amazement", "NOUN" ]
[ " ", "SPACE" ]
if
[ "if", "SCONJ" ]
you
[ "you", "PRON" ]
can
[ "can", "AUX" ]
behold
[ "behold", "VERB" ]
it
[ "it", "PRON" ]
good
[ "best", "ADJ" ]
sheep
[ "sheep", "NOUN" ]
[ " ", "SPACE" ]
which
[ "which", "PRON" ]
I
[ "i", "PRON" ]