Datasets:
missvector
/
python-course

Dataset card Data Studio Files Community
1
lemmas
stringlengths
1
20
pos
sequencelengths
2
2
consent
[ "consent", "NOUN" ]
and
[ "and", "CCONJ" ]
fall
[ "fall", "VERB" ]
upon
[ "upon", "SCONJ" ]
the
[ "the", "DET" ]
ground
[ "ground", "NOUN" ]
[ " ", "SPACE" ]
as
[ "as", "SCONJ" ]
I
[ "i", "PRON" ]
do
[ "do", "AUX" ]
now
[ "now", "ADV" ]
fall
[ "fall", "VERB" ]
enrage
[ "enraged", "VERB" ]
he
[ "him", "PRON" ]
[ " ", "SPACE" ]
or
[ "or", "CCONJ" ]
how
[ "how", "SCONJ" ]
[ " ", "SPACE" ]
twa
[ "twas", "VERB" ]
[ " ", "SPACE" ]
he
[ "he", "PRON" ]
do
[ "did", "AUX" ]
so
[ "so", "ADV" ]
set
[ "set", "VERB" ]
hiswhy
[ "hiswhy", "NOUN" ]
let
[ "let", "VERB" ]
it
[ "it", "PRON" ]
strike
[ "strike", "VERB" ]
provost
[ "provost", "VERB" ]
out
[ "out", "ADP" ]
you
[ "you", "PRON" ]
ll
[ "ll", "AUX" ]
see
[ "see", "VERB" ]
your
[ "your", "PRON" ]
rome
[ "rome", "NOUN" ]
embrace
[ "embraced", "VERB" ]
with
[ "with", "ADP" ]
fire
[ "fire", "NOUN" ]
beforebrutus
[ "beforebrutus", "NOUN" ]
tranio
[ "tranio", "VERB" ]
the
[ "the", "DET" ]
service
[ "service", "NOUN" ]
of
[ "of", "ADP" ]
the
[ "the", "DET" ]
footof
[ "footof", "PROPN" ]
any
[ "any", "DET" ]
point
[ "point", "NOUN" ]
in
[ "in", "ADP" ]
t
[ "t", "NOUN" ]
shall
[ "shall", "AUX" ]
not
[ "not", "PART" ]
only
[ "only", "ADV" ]
bemy
[ "bemy", "VERB" ]
manly
[ "manly", "ADJ" ]
eye
[ "eyes", "NOUN" ]
do
[ "did", "AUX" ]
scorn
[ "scorn", "VERB" ]
an
[ "an", "DET" ]
humble
[ "humble", "ADJ" ]
tear
[ "tear", "NOUN" ]
coriolanus
[ "coriolanus", "NOUN" ]
pluck
[ "pluck", "PROPN" ]
d
[ "d", "PROPN" ]
from
[ "from", "ADP" ]
my
[ "my", "PRON" ]
arm
[ "arms", "NOUN" ]
perforce
[ "perforce", "NOUN" ]
and
[ "and", "CCONJ" ]
give
[ "given", "VERB" ]
awayand
[ "awayand", "NOUN" ]
[ " ", "SPACE" ]
as
[ "as", "SCONJ" ]
we
[ "we", "PRON" ]
hear
[ "hear", "VERB" ]
[ " ", "SPACE" ]
march
[ "march", "NOUN" ]
on
[ "on", "ADP" ]
to
[ "to", "PART" ]
fight
[ "fight", "VERB" ]
with
[ "with", "ADP" ]
we
[ "us", "PRON" ]
well
[ "well", "ADV" ]
aim
[ "aim", "VERB" ]
d
[ "d", "X" ]
of
[ "of", "ADP" ]
such
[ "such", "DET" ]
a
[ "a", "DET" ]
young
[ "young", "ADJ" ]
one
[ "one", "NOUN" ]
her
[ "her", "PRON" ]
eye
[ "eye", "NOUN" ]
discourse
[ "discourses", "VERB" ]
[ " ", "SPACE" ]
I
[ "i", "PRON" ]
will
[ "will", "AUX" ]
answer
[ "answer", "VERB" ]
it
[ "it", "PRON" ]
to
[ "to", "PART" ]
lynn
[ "lynn", "VERB" ]
[ " ", "SPACE" ]