Datasets:
missvector
/
python-course

Dataset card Data Studio Files Community
1
lemmas
stringlengths
1
20
pos
sequencelengths
2
2
[ " ", "SPACE" ]
quoth
[ "quoth", "PROPN" ]
dighton
[ "dighton", "NOUN" ]
[ " ", "SPACE" ]
lie
[ "lay", "VERB" ]
those
[ "those", "DET" ]
tender
[ "tender", "NOUN" ]
babe
[ "babes", "NOUN" ]
[ " ", "SPACE" ]
I
[ "i", "PRON" ]
ll
[ "ll", "AUX" ]
tell
[ "tell", "VERB" ]
you
[ "you", "PRON" ]
how
[ "how", "SCONJ" ]
these
[ "these", "DET" ]
land
[ "lands", "NOUN" ]
be
[ "are", "AUX" ]
to
[ "to", "PART" ]
be
[ "be", "AUX" ]
get
[ "got", "VERB" ]
and
[ "and", "CCONJ" ]
to
[ "to", "PART" ]
be
[ "be", "AUX" ]
on
[ "on", "ADP" ]
foot
[ "foot", "NOUN" ]
at
[ "at", "ADP" ]
an
[ "an", "DET" ]
hour
[ "hour", "NOUN" ]
s
[ "s", "PART" ]
warn
[ "warning", "VERB" ]
they
[ "they", "PRON" ]
shall
[ "shall", "AUX" ]
stand
[ "stand", "VERB" ]
for
[ "for", "ADP" ]
seed
[ "seed", "NOUN" ]
[ " ", "SPACE" ]
they
[ "they", "PRON" ]
have
[ "had", "AUX" ]
go
[ "gone", "VERB" ]
down
[ "down", "ADP" ]
too
[ "too", "ADV" ]
officious
[ "officious", "ADJ" ]
[ " ", "SPACE" ]
for
[ "for", "SCONJ" ]
I
[ "i", "PRON" ]
be
[ "am", "AUX" ]
proof
[ "proof", "NOUN" ]
against
[ "against", "ADP" ]
that
[ "that", "DET" ]
title
[ "title", "NOUN" ]
andduke
[ "andduke", "NOUN" ]
vincentio
[ "vincentio", "PROPN" ]
to
[ "to", "PART" ]
fine
[ "fine", "VERB" ]
the
[ "the", "DET" ]
fault
[ "faults", "NOUN" ]
whose
[ "whose", "DET" ]
fine
[ "fine", "ADJ" ]
stand
[ "stands", "VERB" ]
in
[ "in", "ADP" ]
record
[ "record", "NOUN" ]
cominius
[ "cominius", "NOUN" ]
lartius
[ "lartius", "PROPN" ]
benvolio
[ "benvolio", "PROPN" ]
my
[ "my", "PRON" ]
lord
[ "lord", "PROPN" ]
of
[ "of", "ADP" ]
norfolk
[ "norfolk", "PROPN" ]
[ " ", "SPACE" ]
now
[ "now", "ADV" ]
than
[ "than", "ADP" ]
an
[ "an", "DET" ]
eight
[ "eight", "NUM" ]
year
[ "year", "NOUN" ]
old
[ "old", "ADJ" ]
horse
[ "horse", "NOUN" ]
[ " ", "SPACE" ]
the
[ "the", "DET" ]
tartnessi
[ "tartnessi", "NOUN" ]
[ " ", "SPACE" ]
the
[ "the", "DET" ]
city
[ "city", "NOUN" ]
of
[ "of", "ADP" ]
kite
[ "kites", "NOUN" ]
and
[ "and", "CCONJ" ]
crow
[ "crows", "VERB" ]
sound
[ "sound", "ADJ" ]
trumpet
[ "trumpets", "NOUN" ]
[ " ", "SPACE" ]
let
[ "let", "VERB" ]
our
[ "our", "PRON" ]
bloody
[ "bloody", "ADJ" ]
colour
[ "colours", "NOUN" ]
wave
[ "wave", "NOUN" ]
escalus
[ "escalus", "PROPN" ]
fie
[ "fie", "NOUN" ]
[ " ", "SPACE" ]
fie
[ "fie", "NOUN" ]
[ " ", "SPACE" ]
fie
[ "fie", "VERB" ]