Datasets:
missvector
/
python-course

Dataset card Data Studio Files
xet
Community
1
lemmas
stringlengths
1
20
pos
listlengths
2
2
friar
[ "friar", "NOUN" ]
[ " ", "SPACE" ]
but
[ "but", "CCONJ" ]
no
[ "no", "PRON" ]
more
[ "more", "ADJ" ]
of
[ "of", "ADP" ]
this
[ "this", "DET" ]
[ " ", "SPACE" ]
canst
[ "canst", "ADJ" ]
thou
[ "thou", "NOUN" ]
tell
[ "tell", "VERB" ]
ifpetitionary
[ "ifpetitionary", "NOUN" ]
countryman
[ "countrymen", "NOUN" ]
[ " ", "SPACE" ]
the
[ "the", "DET" ]
good
[ "good", "ADJ" ]
god
[ "gods", "NOUN" ]
assuage
[ "assuage", "VERB" ]
thysuch
[ "thysuch", "NOUN" ]
as
[ "as", "ADP" ]
move
[ "move", "NOUN" ]
man
[ "men", "NOUN" ]
[ " ", "SPACE" ]
beside
[ "beside", "ADP" ]
[ " ", "SPACE" ]
she
[ "she", "PRON" ]
hath
[ "hath", "VERB" ]
prosperous
[ "prosperous", "ADJ" ]
arthe
[ "arthe", "PRON" ]
s
[ "s", "PART" ]
right
[ "right", "ADJ" ]
noble
[ "noble", "ADJ" ]
tyrrel
[ "tyrrel", "NOUN" ]
that
[ "that", "PRON" ]
would
[ "would", "AUX" ]
reduce
[ "reduce", "VERB" ]
these
[ "these", "DET" ]
bloody
[ "bloody", "ADJ" ]
day
[ "days", "NOUN" ]
again
[ "again", "ADV" ]
I
[ "i", "PRON" ]
have
[ "have", "AUX" ]
advertise
[ "advertised", "VERB" ]
he
[ "him", "PRON" ]
by
[ "by", "ADP" ]
secret
[ "secret", "ADJ" ]
meansif
[ "meansif", "NOUN" ]
he
[ "he", "PRON" ]
may
[ "may", "AUX" ]
be
[ "be", "AUX" ]
repeal
[ "repeal", "VERB" ]
d
[ "d", "X" ]
[ " ", "SPACE" ]
to
[ "to", "PART" ]
try
[ "try", "VERB" ]
his
[ "his", "PRON" ]
honour
[ "honour", "NOUN" ]
which
[ "which", "PRON" ]
never
[ "never", "ADV" ]
tender
[ "tender", "NOUN" ]
lady
[ "lady", "PROPN" ]
hath
[ "hath", "NOUN" ]
bear
[ "born", "VERB" ]
great
[ "greater", "ADJ" ]
of
[ "of", "ADP" ]
sugar
[ "sugar", "NOUN" ]
[ " ", "SPACE" ]
five
[ "five", "NUM" ]
pound
[ "pound", "NOUN" ]
of
[ "of", "ADP" ]
currant
[ "currants", "NOUN" ]
[ " ", "SPACE" ]
rice
[ "rice", "NOUN" ]
[ " ", "SPACE" ]
what
[ "what", "PRON" ]
willshepherd
[ "willshepherd", "PROPN" ]
be
[ "is", "AUX" ]
it
[ "it", "PRON" ]
even
[ "even", "ADV" ]
so
[ "so", "ADV" ]
[ " ", "SPACE" ]
then
[ "then", "ADV" ]
I
[ "i", "PRON" ]
defy
[ "defy", "VERB" ]
you
[ "you", "PRON" ]
[ " ", "SPACE" ]
star
[ "stars", "VERB" ]
monstrous
[ "monstrous", "ADJ" ]
[ " ", "SPACE" ]
and
[ "and", "CCONJ" ]
for
[ "for", "ADP" ]
the
[ "the", "DET" ]
multitude
[ "multitude", "NOUN" ]
to
[ "to", "PART" ]
be
[ "be", "AUX" ]
ingrateful
[ "ingrateful", "ADJ" ]
escalus
[ "escalus", "ADJ" ]
ratcliff
[ "ratcliff", "NOUN" ]
dare
[ "dared", "VERB" ]
once
[ "once", "ADV" ]