Datasets:
missvector
/
python-course

Dataset card Data Studio Files Community
1
lemmas
stringlengths
1
20
pos
sequencelengths
2
2
[ " ", "SPACE" ]
o
[ "o", "NOUN" ]
[ " ", "SPACE" ]
it
[ "it", "PRON" ]
press
[ "presses", "VERB" ]
to
[ "to", "ADP" ]
my
[ "my", "PRON" ]
memory
[ "memory", "NOUN" ]
hath
[ "hath", "NOUN" ]
hold
[ "held", "VERB" ]
his
[ "his", "PRON" ]
current
[ "current", "ADJ" ]
and
[ "and", "CCONJ" ]
defile
[ "defiled", "VERB" ]
himself
[ "himself", "PRON" ]
the
[ "the", "DET" ]
welshman
[ "welshmen", "NOUN" ]
be
[ "are", "AUX" ]
disperse
[ "dispersed", "VERB" ]
[ " ", "SPACE" ]
and
[ "and", "CCONJ" ]
salisburyduke
[ "salisburyduke", "PROPN" ]
vincentio
[ "vincentio", "PROPN" ]
and
[ "and", "CCONJ" ]
now
[ "now", "ADV" ]
[ " ", "SPACE" ]
dear
[ "dear", "ADJ" ]
maid
[ "maid", "NOUN" ]
[ " ", "SPACE" ]
be
[ "be", "AUX" ]
you
[ "you", "PRON" ]
as
[ "as", "ADV" ]
free
[ "free", "ADJ" ]
to
[ "to", "ADP" ]
we
[ "us", "PRON" ]
that
[ "that", "SCONJ" ]
beggar
[ "beggars", "NOUN" ]
mounted
[ "mounted", "AUX" ]
run
[ "run", "VERB" ]
their
[ "their", "PRON" ]
horse
[ "horse", "NOUN" ]
to
[ "to", "ADP" ]
death
[ "death", "NOUN" ]
shall
[ "shall", "AUX" ]
use
[ "use", "VERB" ]
I
[ "me", "PRON" ]
hereafter
[ "hereafter", "ADJ" ]
[ " ", "SPACE" ]
drybeat
[ "drybeat", "VERB" ]
the
[ "the", "DET" ]
rest
[ "rest", "NOUN" ]
of
[ "of", "ADP" ]
thea
[ "thea", "ADJ" ]
lie
[ "lie", "NOUN" ]
that
[ "that", "SCONJ" ]
it
[ "it", "PRON" ]
must
[ "must", "AUX" ]
bear
[ "bear", "VERB" ]
[ " ", "SPACE" ]
well
[ "well", "ADV" ]
[ " ", "SPACE" ]
I
[ "i", "PRON" ]
will
[ "will", "AUX" ]
do
[ "do", "VERB" ]
t
[ "t", "NOUN" ]
here
[ "here", "ADV" ]
s
[ "s", "VERB" ]
one
[ "one", "NUM" ]
[ " ", "SPACE" ]
a
[ "a", "DET" ]
friend
[ "friend", "NOUN" ]
[ " ", "SPACE" ]
and
[ "and", "CCONJ" ]
one
[ "one", "NOUN" ]
that
[ "that", "PRON" ]
know
[ "knows", "VERB" ]
you
[ "you", "PRON" ]
well
[ "well", "ADV" ]
autolycus
[ "autolycus", "VERB" ]
that
[ "that", "SCONJ" ]
ancus
[ "ancus", "NOUN" ]
marcius
[ "marcius", "NOUN" ]
[ " ", "SPACE" ]
numa
[ "numa", "PROPN" ]
s
[ "s", "PROPN" ]
daughter
[ "daughter", "NOUN" ]
s
[ "s", "PART" ]
son
[ "son", "NOUN" ]
could
[ "could", "AUX" ]
to
[ "to", "ADP" ]
no
[ "no", "DET" ]
issue
[ "issue", "NOUN" ]
of
[ "of", "ADP" ]
true
[ "true", "ADJ" ]
honour
[ "honour", "NOUN" ]
bring
[ "bring", "VERB" ]
your
[ "your", "PRON" ]
father
[ "father", "NOUN" ]
s
[ "s", "PART" ]
head
[ "head", "NOUN" ]