Datasets:
missvector
/
python-course

Dataset card Data Studio Files
xet
Community
1
lemmas
stringlengths
1
20
pos
listlengths
2
2
fear
[ "fear", "VERB" ]
the
[ "the", "DET" ]
wolf
[ "wolf", "NOUN" ]
will
[ "will", "AUX" ]
soon
[ "sooner", "ADV" ]
findwhy
[ "findwhy", "NOUN" ]
should
[ "should", "AUX" ]
hard
[ "hard", "ADV" ]
favour
[ "favour", "VERB" ]
d
[ "d", "NOUN" ]
grief
[ "grief", "NOUN" ]
be
[ "be", "AUX" ]
lodge
[ "lodged", "VERB" ]
in
[ "in", "ADP" ]
thee
[ "thee", "PRON" ]
for
[ "for", "SCONJ" ]
she
[ "she", "PRON" ]
be
[ "is", "AUX" ]
good
[ "good", "ADJ" ]
[ " ", "SPACE" ]
hath
[ "hath", "NOUN" ]
bring
[ "brought", "VERB" ]
you
[ "you", "PRON" ]
forth
[ "forth", "ADV" ]
a
[ "a", "DET" ]
daughter
[ "daughter", "NOUN" ]
the
[ "the", "DET" ]
cockerel
[ "cockerel", "NOUN" ]
what
[ "what", "PRON" ]
[ " ", "SPACE" ]
dress
[ "dress", "VERB" ]
d
[ "d", "NOUN" ]
[ " ", "SPACE" ]
and
[ "and", "CCONJ" ]
in
[ "in", "ADP" ]
your
[ "your", "PRON" ]
clothe
[ "clothes", "NOUN" ]
[ " ", "SPACE" ]
and
[ "and", "CCONJ" ]
down
[ "down", "ADV" ]
again
[ "again", "ADV" ]
gloucester
[ "gloucester", "PROPN" ]
stark
[ "stark", "PROPN" ]
spoil
[ "spoiled", "VERB" ]
with
[ "with", "ADP" ]
the
[ "the", "DET" ]
stagger
[ "staggers", "NOUN" ]
[ " ", "SPACE" ]
begnawn
[ "begnawn", "ADJ" ]
with
[ "with", "ADP" ]
thei
[ "thei", "PROPN" ]
do
[ "do", "VERB" ]
[ " ", "SPACE" ]
and
[ "and", "CCONJ" ]
surelyfrom
[ "surelyfrom", "VERB" ]
the
[ "the", "DET" ]
corruption
[ "corruption", "NOUN" ]
of
[ "of", "ADP" ]
abuse
[ "abusing", "VERB" ]
times
[ "times", "PROPN" ]
john
[ "john", "PROPN" ]
of
[ "of", "ADP" ]
gaunt
[ "gaunt", "PROPN" ]
but
[ "but", "CCONJ" ]
let
[ "let", "VERB" ]
I
[ "me", "PRON" ]
see
[ "see", "VERB" ]
[ " ", "SPACE" ]
be
[ "is", "AUX" ]
this
[ "this", "PRON" ]
our
[ "our", "PRON" ]
foeman
[ "foeman", "NOUN" ]
s
[ "s", "PART" ]
face
[ "face", "NOUN" ]
servant
[ "servant", "NOUN" ]
renowned
[ "renowned", "ADJ" ]
brother
[ "brother", "NOUN" ]
[ " ", "SPACE" ]
in
[ "in", "ADP" ]
his
[ "his", "PRON" ]
love
[ "love", "NOUN" ]
toward
[ "toward", "ADP" ]
she
[ "her", "PRON" ]
ever
[ "ever", "ADV" ]
mostabout
[ "mostabout", "NOUN" ]
their
[ "their", "PRON" ]
function
[ "functions", "NOUN" ]
friendly
[ "friendly", "ADJ" ]
gloucester
[ "gloucester", "NOUN" ]
some
[ "some", "DET" ]
five
[ "five", "NUM" ]
and
[ "and", "CCONJ" ]
twenty
[ "twenty", "NUM" ]
year
[ "years", "NOUN" ]
[ " ", "SPACE" ]
and
[ "and", "CCONJ" ]
then
[ "then", "ADV" ]
we
[ "we", "PRON" ]
mask
[ "mask", "VERB" ]
d
[ "d", "NUM" ]