Datasets:
missvector
/
python-course

Dataset card Data Studio Files
xet
Community
1
lemmas
stringlengths
1
20
pos
listlengths
2
2
you
[ "you", "PRON" ]
[ " ", "SPACE" ]
the
[ "the", "DET" ]
sorrow
[ "sorrow", "NOUN" ]
that
[ "that", "PRON" ]
deliver
[ "delivers", "VERB" ]
we
[ "us", "PRON" ]
thus
[ "thus", "ADV" ]
changedsicinius
[ "changedsicinius", "PROPN" ]
shepherd
[ "shepherd", "PROPN" ]
give
[ "gives", "VERB" ]
in
[ "in", "ADP" ]
your
[ "your", "PRON" ]
weakness
[ "weakness", "NOUN" ]
strength
[ "strength", "NOUN" ]
unto
[ "unto", "ADP" ]
your
[ "your", "PRON" ]
foe
[ "foe", "NOUN" ]
king
[ "king", "PROPN" ]
richard
[ "richard", "PROPN" ]
iii
[ "iii", "PROPN" ]
lie
[ "lies", "VERB" ]
my
[ "my", "PRON" ]
consent
[ "consent", "NOUN" ]
and
[ "and", "CCONJ" ]
fair
[ "fair", "ADJ" ]
accord
[ "according", "VERB" ]
voice
[ "voice", "NOUN" ]
I
[ "i", "PRON" ]
[ " ", "SPACE" ]
the
[ "the", "DET" ]
city
[ "city", "NOUN" ]
of
[ "of", "ADP" ]
kite
[ "kites", "NOUN" ]
and
[ "and", "CCONJ" ]
crow
[ "crows", "VERB" ]
[ " ", "SPACE" ]
what
[ "what", "PRON" ]
an
[ "an", "DET" ]
ass
[ "ass", "NOUN" ]
it
[ "it", "PRON" ]
be
[ "is", "AUX" ]
and
[ "and", "CCONJ" ]
have
[ "have", "AUX" ]
prevail
[ "prevail", "VERB" ]
d
[ "d", "X" ]
as
[ "as", "ADV" ]
much
[ "much", "ADV" ]
on
[ "on", "ADP" ]
he
[ "him", "PRON" ]
as
[ "as", "ADP" ]
you
[ "you", "PRON" ]
with
[ "with", "ADP" ]
good
[ "good", "ADJ" ]
old
[ "old", "ADJ" ]
folk
[ "folks", "NOUN" ]
and
[ "and", "CCONJ" ]
let
[ "let", "VERB" ]
they
[ "them", "PRON" ]
tell
[ "tell", "VERB" ]
thee
[ "thee", "PRON" ]
talesso
[ "talesso", "NOUN" ]
please
[ "please", "INTJ" ]
your
[ "your", "PRON" ]
lordship
[ "lordship", "NOUN" ]
to
[ "to", "PART" ]
accept
[ "accept", "VERB" ]
our
[ "our", "PRON" ]
duty
[ "duty", "NOUN" ]
in
[ "in", "ADP" ]
hand
[ "hand", "NOUN" ]
and
[ "and", "CCONJ" ]
hope
[ "hope", "NOUN" ]
of
[ "of", "ADP" ]
action
[ "action", "NOUN" ]
[ " ", "SPACE" ]
but
[ "but", "CCONJ" ]
we
[ "we", "PRON" ]
do
[ "do", "AUX" ]
learnkatharina
[ "learnkatharina", "VERB" ]
that
[ "that", "SCONJ" ]
thing
[ "things", "NOUN" ]
ill
[ "ill", "ADJ" ]
get
[ "got", "VERB" ]
have
[ "had", "VERB" ]
ever
[ "ever", "ADV" ]
bad
[ "bad", "ADJ" ]
success
[ "success", "NOUN" ]
o
[ "o", "NOUN" ]
woful
[ "woful", "ADJ" ]
time
[ "time", "NOUN" ]
your
[ "your", "PRON" ]
maidenhead
[ "maidenheads", "NOUN" ]
grow
[ "growing", "VERB" ]
[ " ", "SPACE" ]
o
[ "o", "NOUN" ]
proserpina
[ "proserpina", "NOUN" ]
when
[ "when", "SCONJ" ]
[ " ", "SPACE" ]
by
[ "by", "ADP" ]