Datasets:
missvector
/
python-course

Dataset card Data Studio Files Community
1
lemmas
stringlengths
1
20
pos
sequencelengths
2
2
revel
[ "revel", "VERB" ]
it
[ "it", "PRON" ]
with
[ "with", "ADP" ]
he
[ "him", "PRON" ]
and
[ "and", "CCONJ" ]
his
[ "his", "PRON" ]
new
[ "new", "ADJ" ]
bride
[ "bride", "NOUN" ]
[ " ", "SPACE" ]
henry
[ "henry", "PROPN" ]
have
[ "had", "VERB" ]
none
[ "none", "NOUN" ]
[ " ", "SPACE" ]
but
[ "but", "CCONJ" ]
do
[ "did", "AUX" ]
usurp
[ "usurp", "VERB" ]
the
[ "the", "DET" ]
place
[ "place", "NOUN" ]
like
[ "like", "ADP" ]
to
[ "to", "ADP" ]
a
[ "a", "DET" ]
tenement
[ "tenement", "NOUN" ]
or
[ "or", "CCONJ" ]
pelting
[ "pelting", "NOUN" ]
farm
[ "farm", "NOUN" ]
be
[ "is", "AUX" ]
quite
[ "quite", "ADV" ]
beyond
[ "beyond", "ADP" ]
mine
[ "mine", "ADJ" ]
arm
[ "arm", "NOUN" ]
[ " ", "SPACE" ]
out
[ "out", "ADP" ]
of
[ "of", "ADP" ]
the
[ "the", "DET" ]
blankking
[ "blankking", "NOUN" ]
edward
[ "edward", "NOUN" ]
iv
[ "iv", "PRON" ]
even
[ "even", "ADV" ]
at
[ "at", "ADP" ]
his
[ "his", "PRON" ]
foot
[ "feet", "NOUN" ]
to
[ "to", "PART" ]
lay
[ "lay", "VERB" ]
my
[ "my", "PRON" ]
arm
[ "arms", "NOUN" ]
and
[ "and", "CCONJ" ]
power
[ "power", "NOUN" ]
he
[ "he", "PRON" ]
that
[ "that", "PRON" ]
know
[ "knows", "VERB" ]
well
[ "better", "ADV" ]
how
[ "how", "SCONJ" ]
to
[ "to", "PART" ]
tame
[ "tame", "VERB" ]
a
[ "a", "DET" ]
shrew
[ "shrew", "NOUN" ]
be
[ "be", "AUX" ]
advise
[ "advised", "VERB" ]
so
[ "so", "ADV" ]
many
[ "many", "ADJ" ]
day
[ "days", "NOUN" ]
my
[ "my", "PRON" ]
ewe
[ "ewes", "NOUN" ]
have
[ "have", "AUX" ]
be
[ "been", "AUX" ]
with
[ "with", "ADP" ]
young
[ "young", "ADJ" ]
my
[ "my", "PRON" ]
heart
[ "heart", "NOUN" ]
this
[ "this", "DET" ]
covenant
[ "covenant", "NOUN" ]
make
[ "makes", "VERB" ]
[ " ", "SPACE" ]
my
[ "my", "PRON" ]
hand
[ "hand", "NOUN" ]
thus
[ "thus", "ADV" ]
seal
[ "seals", "VERB" ]
it
[ "it", "PRON" ]
but
[ "but", "CCONJ" ]
shall
[ "shall", "AUX" ]
we
[ "we", "PRON" ]
wear
[ "wear", "VERB" ]
these
[ "these", "DET" ]
honour
[ "honours", "NOUN" ]
for
[ "for", "ADP" ]
a
[ "a", "DET" ]
day
[ "day", "NOUN" ]
and
[ "and", "CCONJ" ]
so
[ "so", "ADV" ]
farewell
[ "farewell", "INTJ" ]
[ " ", "SPACE" ]
katharina
[ "katharina", "PROPN" ]
[ " ", "SPACE" ]
you
[ "you", "PRON" ]
may
[ "may", "AUX" ]
stay
[ "stay", "VERB" ]
you
[ "you", "PRON" ]
do
[ "do", "AUX" ]
awake
[ "awake", "VERB" ]
your
[ "your", "PRON" ]