Datasets:
missvector
/
python-course

Dataset card Data Studio Files Community
1
lemmas
stringlengths
1
20
pos
sequencelengths
2
2
beam
[ "beams", "NOUN" ]
grumio
[ "grumio", "NOUN" ]
that
[ "that", "SCONJ" ]
we
[ "we", "PRON" ]
may
[ "may", "AUX" ]
call
[ "call", "VERB" ]
it
[ "it", "PRON" ]
early
[ "early", "ADV" ]
by
[ "by", "ADP" ]
and
[ "and", "CCONJ" ]
by
[ "by", "ADP" ]
well
[ "well", "ADV" ]
[ " ", "SPACE" ]
go
[ "go", "VERB" ]
with
[ "with", "ADP" ]
I
[ "me", "PRON" ]
and
[ "and", "CCONJ" ]
be
[ "be", "AUX" ]
not
[ "not", "PART" ]
so
[ "so", "ADV" ]
discomfited
[ "discomfited", "ADJ" ]
bowling
[ "bowling", "NOUN" ]
[ " ", "SPACE" ]
it
[ "it", "PRON" ]
will
[ "will", "AUX" ]
please
[ "please", "VERB" ]
plentifully
[ "plentifully", "ADV" ]
queen
[ "queen", "PROPN" ]
elizabeth
[ "elizabeth", "PROPN" ]
and
[ "and", "CCONJ" ]
leave
[ "leave", "VERB" ]
the
[ "the", "DET" ]
burthen
[ "burthen", "NOUN" ]
of
[ "of", "ADP" ]
it
[ "it", "PRON" ]
all
[ "all", "PRON" ]
on
[ "on", "ADP" ]
thee
[ "thee", "PROPN" ]
marcius
[ "marcius", "PROPN" ]
in
[ "in", "ADP" ]
brief
[ "brief", "NOUN" ]
[ " ", "SPACE" ]
to
[ "to", "PART" ]
set
[ "set", "VERB" ]
the
[ "the", "DET" ]
needless
[ "needless", "ADJ" ]
process
[ "process", "NOUN" ]
by
[ "by", "ADP" ]
and
[ "and", "CCONJ" ]
see
[ "see", "VERB" ]
he
[ "him", "PRON" ]
seat
[ "seated", "VERB" ]
in
[ "in", "ADP" ]
the
[ "the", "DET" ]
regal
[ "regal", "ADJ" ]
throne
[ "throne", "NOUN" ]
let
[ "let", "VERB" ]
they
[ "them", "PRON" ]
not
[ "not", "PART" ]
live
[ "live", "VERB" ]
to
[ "to", "PART" ]
taste
[ "taste", "VERB" ]
this
[ "this", "DET" ]
land
[ "land", "NOUN" ]
s
[ "s", "PART" ]
increaselord
[ "increaselord", "NOUN" ]
willoughby
[ "willoughby", "NOUN" ]
clarence
[ "clarence", "NOUN" ]
both
[ "both", "CCONJ" ]
you
[ "you", "PRON" ]
and
[ "and", "CCONJ" ]
I
[ "i", "PRON" ]
[ " ", "SPACE" ]
for
[ "for", "ADP" ]
romeo
[ "romeo", "NOUN" ]
be
[ "is", "AUX" ]
exile
[ "exiled", "VERB" ]
yet
[ "yet", "ADV" ]
whether
[ "whether", "SCONJ" ]
you
[ "you", "PRON" ]
accept
[ "accept", "VERB" ]
our
[ "our", "PRON" ]
suit
[ "suit", "NOUN" ]
or
[ "or", "CCONJ" ]
no
[ "no", "INTJ" ]
but
[ "but", "CCONJ" ]
be
[ "are", "AUX" ]
they
[ "they", "PRON" ]
[ " ", "SPACE" ]
ariel
[ "ariel", "PROPN" ]
[ " ", "SPACE" ]
safe
[ "safe", "ADJ" ]
what
[ "what", "PRON" ]
follow
[ "follows", "VERB" ]
this
[ "this", "PRON" ]
to
[ "to", "ADP" ]
merit
[ "merit", "NOUN" ]
bliss
[ "bliss", "VERB" ]
by
[ "by", "ADP" ]
make
[ "making", "VERB" ]