Datasets:
missvector
/
python-course

Dataset card Data Studio Files Community
1
lemmas
stringlengths
1
20
pos
sequencelengths
2
2
five
[ "five", "NUM" ]
hundred
[ "hundred", "NUM" ]
and
[ "and", "CCONJ" ]
their
[ "their", "PRON" ]
friend
[ "friends", "NOUN" ]
to
[ "to", "PART" ]
piece
[ "piece", "VERB" ]
[ " ", "SPACE" ]
em
[ "em", "PRON" ]
baptista
[ "baptista", "PROPN" ]
and
[ "and", "CCONJ" ]
a
[ "a", "DET" ]
dram
[ "dram", "NOUN" ]
dead
[ "dead", "ADJ" ]
[ " ", "SPACE" ]
then
[ "then", "ADV" ]
recover
[ "recovered", "VERB" ]
again
[ "again", "ADV" ]
withay
[ "withay", "PROPN" ]
[ " ", "SPACE" ]
if
[ "if", "SCONJ" ]
thou
[ "thou", "ADJ" ]
wilt
[ "wilt", "NOUN" ]
say
[ "say", "VERB" ]
[ " ", "SPACE" ]
ay
[ "ay", "VERB" ]
[ " ", "SPACE" ]
to
[ "to", "ADP" ]
my
[ "my", "PRON" ]
request
[ "request", "NOUN" ]
what
[ "what", "DET" ]
simpleness
[ "simpleness", "ADV" ]
be
[ "is", "AUX" ]
this
[ "this", "PRON" ]
[ " ", "SPACE" ]
I
[ "i", "PRON" ]
come
[ "come", "VERB" ]
[ " ", "SPACE" ]
I
[ "i", "PRON" ]
come
[ "come", "VERB" ]
she
[ "she", "PRON" ]
dance
[ "dances", "VERB" ]
featly
[ "featly", "ADV" ]
coriolanus
[ "coriolanus", "ADJ" ]
save
[ "save", "NOUN" ]
man
[ "men", "NOUN" ]
s
[ "s", "PART" ]
opinion
[ "opinions", "NOUN" ]
and
[ "and", "CCONJ" ]
my
[ "my", "PRON" ]
live
[ "living", "VERB" ]
blood
[ "blood", "NOUN" ]
you
[ "you", "PRON" ]
[ " ", "SPACE" ]
the
[ "the", "DET" ]
great
[ "great", "ADJ" ]
toe
[ "toe", "NOUN" ]
of
[ "of", "ADP" ]
this
[ "this", "DET" ]
assembly
[ "assembly", "NOUN" ]
and
[ "and", "CCONJ" ]
tell
[ "tell", "VERB" ]
[ " ", "SPACE" ]
s
[ "s", "VERB" ]
a
[ "a", "DET" ]
tale
[ "tale", "ADJ" ]
romeo
[ "romeo", "NOUN" ]
cominius
[ "cominius", "NOUN" ]
our
[ "our", "PRON" ]
ancient
[ "ancient", "ADJ" ]
word
[ "word", "NOUN" ]
of
[ "of", "ADP" ]
courage
[ "courage", "NOUN" ]
[ " ", "SPACE" ]
fair
[ "fair", "ADJ" ]
saint
[ "saint", "NOUN" ]
george
[ "george", "PROPN" ]
one
[ "one", "NUM" ]
out
[ "out", "ADP" ]
of
[ "of", "ADP" ]
the
[ "the", "DET" ]
table
[ "table", "NOUN" ]
look
[ "look", "VERB" ]
you
[ "you", "PRON" ]
bring
[ "bring", "VERB" ]
I
[ "me", "PRON" ]
in
[ "in", "ADP" ]
the
[ "the", "DET" ]
name
[ "names", "NOUN" ]
of
[ "of", "ADP" ]
some
[ "some", "DET" ]
six
[ "six", "NUM" ]
or
[ "or", "CCONJ" ]
seven
[ "seven", "NUM" ]
ely
[ "ely", "ADV" ]
with
[ "with", "ADP" ]
richmond
[ "richmond", "PROPN" ]
trouble
[ "troubles", "VERB" ]
I
[ "me", "PRON" ]
more
[ "more", "ADV" ]