word
stringlengths
2
23
language
stringclasses
1 value
input_ids
sequencelengths
4
25
attention_mask
sequencelengths
4
25
special_tokens_mask
sequencelengths
4
25
tokens
sequencelengths
2
23
knots
en
[ 53, 11, 14, 15, 20, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 1 ]
[ "k", "n", "o", "t", "s" ]
stalemating
en
[ 53, 19, 20, 1, 12, 5, 13, 1, 20, 9, 14, 7, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "s", "t", "a", "l", "e", "m", "a", "t", "i", "n", "g" ]
whoops
en
[ 53, 23, 8, 15, 15, 16, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 1 ]
[ "w", "h", "o", "o", "p", "s" ]
implantation
en
[ 53, 9, 13, 16, 12, 1, 14, 20, 1, 20, 9, 15, 14, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "i", "m", "p", "l", "a", "n", "t", "a", "t", "i", "o", "n" ]
levers
en
[ 53, 12, 5, 22, 5, 18, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 1 ]
[ "l", "e", "v", "e", "r", "s" ]
statesman
en
[ 53, 19, 20, 1, 20, 5, 19, 13, 1, 14, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "s", "t", "a", "t", "e", "s", "m", "a", "n" ]
reels
en
[ 53, 18, 5, 5, 12, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 1 ]
[ "r", "e", "e", "l", "s" ]
tweediest
en
[ 53, 20, 23, 5, 5, 4, 9, 5, 19, 20, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "t", "w", "e", "e", "d", "i", "e", "s", "t" ]
tilde
en
[ 53, 20, 9, 12, 4, 5, 54 ]
[ 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 1 ]
[ "t", "i", "l", "d", "e" ]
salved
en
[ 53, 19, 1, 12, 22, 5, 4, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 1 ]
[ "s", "a", "l", "v", "e", "d" ]
patronisers
en
[ 53, 16, 1, 20, 18, 15, 14, 9, 19, 5, 18, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "p", "a", "t", "r", "o", "n", "i", "s", "e", "r", "s" ]
tromping
en
[ 53, 20, 18, 15, 13, 16, 9, 14, 7, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "t", "r", "o", "m", "p", "i", "n", "g" ]
corneas
en
[ 53, 3, 15, 18, 14, 5, 1, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "c", "o", "r", "n", "e", "a", "s" ]
sables
en
[ 53, 19, 1, 2, 12, 5, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 1 ]
[ "s", "a", "b", "l", "e", "s" ]
aeronautical
en
[ 53, 1, 5, 18, 15, 14, 1, 21, 20, 9, 3, 1, 12, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "a", "e", "r", "o", "n", "a", "u", "t", "i", "c", "a", "l" ]
moonbeam
en
[ 53, 13, 15, 15, 14, 2, 5, 1, 13, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "m", "o", "o", "n", "b", "e", "a", "m" ]
coping
en
[ 53, 3, 15, 16, 9, 14, 7, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 1 ]
[ "c", "o", "p", "i", "n", "g" ]
doorplate
en
[ 53, 4, 15, 15, 18, 16, 12, 1, 20, 5, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "d", "o", "o", "r", "p", "l", "a", "t", "e" ]
hemorrhages
en
[ 53, 8, 5, 13, 15, 18, 18, 8, 1, 7, 5, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "h", "e", "m", "o", "r", "r", "h", "a", "g", "e", "s" ]
fowled
en
[ 53, 6, 15, 23, 12, 5, 4, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 1 ]
[ "f", "o", "w", "l", "e", "d" ]
tournament
en
[ 53, 20, 15, 21, 18, 14, 1, 13, 5, 14, 20, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "t", "o", "u", "r", "n", "a", "m", "e", "n", "t" ]
thingamabob
en
[ 53, 20, 8, 9, 14, 7, 1, 13, 1, 2, 15, 2, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "t", "h", "i", "n", "g", "a", "m", "a", "b", "o", "b" ]
locksmiths
en
[ 53, 12, 15, 3, 11, 19, 13, 9, 20, 8, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "l", "o", "c", "k", "s", "m", "i", "t", "h", "s" ]
tweak
en
[ 53, 20, 23, 5, 1, 11, 54 ]
[ 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 1 ]
[ "t", "w", "e", "a", "k" ]
inertness
en
[ 53, 9, 14, 5, 18, 20, 14, 5, 19, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "i", "n", "e", "r", "t", "n", "e", "s", "s" ]
frostbitten
en
[ 53, 6, 18, 15, 19, 20, 2, 9, 20, 20, 5, 14, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "f", "r", "o", "s", "t", "b", "i", "t", "t", "e", "n" ]
interlope
en
[ 53, 9, 14, 20, 5, 18, 12, 15, 16, 5, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "i", "n", "t", "e", "r", "l", "o", "p", "e" ]
abnormally
en
[ 53, 1, 2, 14, 15, 18, 13, 1, 12, 12, 25, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "a", "b", "n", "o", "r", "m", "a", "l", "l", "y" ]
crammed
en
[ 53, 3, 18, 1, 13, 13, 5, 4, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "c", "r", "a", "m", "m", "e", "d" ]
drools
en
[ 53, 4, 18, 15, 15, 12, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 1 ]
[ "d", "r", "o", "o", "l", "s" ]
mispronounce
en
[ 53, 13, 9, 19, 16, 18, 15, 14, 15, 21, 14, 3, 5, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "m", "i", "s", "p", "r", "o", "n", "o", "u", "n", "c", "e" ]
outdated
en
[ 53, 15, 21, 20, 4, 1, 20, 5, 4, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "o", "u", "t", "d", "a", "t", "e", "d" ]
gillion
en
[ 53, 7, 9, 12, 12, 9, 15, 14, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "g", "i", "l", "l", "i", "o", "n" ]
declawing
en
[ 53, 4, 5, 3, 12, 1, 23, 9, 14, 7, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "d", "e", "c", "l", "a", "w", "i", "n", "g" ]
goose
en
[ 53, 7, 15, 15, 19, 5, 54 ]
[ 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 1 ]
[ "g", "o", "o", "s", "e" ]
shortsightedly
en
[ 53, 19, 8, 15, 18, 20, 19, 9, 7, 8, 20, 5, 4, 12, 25, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "s", "h", "o", "r", "t", "s", "i", "g", "h", "t", "e", "d", "l", "y" ]
eddies
en
[ 53, 5, 4, 4, 9, 5, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 1 ]
[ "e", "d", "d", "i", "e", "s" ]
tear
en
[ 53, 20, 5, 1, 18, 54 ]
[ 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 1 ]
[ "t", "e", "a", "r" ]
ensigns
en
[ 53, 5, 14, 19, 9, 7, 14, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "e", "n", "s", "i", "g", "n", "s" ]
perennials
en
[ 53, 16, 5, 18, 5, 14, 14, 9, 1, 12, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "p", "e", "r", "e", "n", "n", "i", "a", "l", "s" ]
culmination
en
[ 53, 3, 21, 12, 13, 9, 14, 1, 20, 9, 15, 14, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "c", "u", "l", "m", "i", "n", "a", "t", "i", "o", "n" ]
unravel
en
[ 53, 21, 14, 18, 1, 22, 5, 12, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "u", "n", "r", "a", "v", "e", "l" ]
flair
en
[ 53, 6, 12, 1, 9, 18, 54 ]
[ 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 1 ]
[ "f", "l", "a", "i", "r" ]
hunts
en
[ 53, 8, 21, 14, 20, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 1 ]
[ "h", "u", "n", "t", "s" ]
beau
en
[ 53, 2, 5, 1, 21, 54 ]
[ 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 1 ]
[ "b", "e", "a", "u" ]
alderwomen
en
[ 53, 1, 12, 4, 5, 18, 23, 15, 13, 5, 14, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "a", "l", "d", "e", "r", "w", "o", "m", "e", "n" ]
beheaded
en
[ 53, 2, 5, 8, 5, 1, 4, 5, 4, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "b", "e", "h", "e", "a", "d", "e", "d" ]
candle
en
[ 53, 3, 1, 14, 4, 12, 5, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 1 ]
[ "c", "a", "n", "d", "l", "e" ]
typical
en
[ 53, 20, 25, 16, 9, 3, 1, 12, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "t", "y", "p", "i", "c", "a", "l" ]
laundromat
en
[ 53, 12, 1, 21, 14, 4, 18, 15, 13, 1, 20, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "l", "a", "u", "n", "d", "r", "o", "m", "a", "t" ]
terrine
en
[ 53, 20, 5, 18, 18, 9, 14, 5, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "t", "e", "r", "r", "i", "n", "e" ]
detoured
en
[ 53, 4, 5, 20, 15, 21, 18, 5, 4, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "d", "e", "t", "o", "u", "r", "e", "d" ]
escapology
en
[ 53, 5, 19, 3, 1, 16, 15, 12, 15, 7, 25, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "e", "s", "c", "a", "p", "o", "l", "o", "g", "y" ]
surfed
en
[ 53, 19, 21, 18, 6, 5, 4, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 1 ]
[ "s", "u", "r", "f", "e", "d" ]
refolds
en
[ 53, 18, 5, 6, 15, 12, 4, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "r", "e", "f", "o", "l", "d", "s" ]
forensic
en
[ 53, 6, 15, 18, 5, 14, 19, 9, 3, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "f", "o", "r", "e", "n", "s", "i", "c" ]
article
en
[ 53, 1, 18, 20, 9, 3, 12, 5, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "a", "r", "t", "i", "c", "l", "e" ]
subprogram
en
[ 53, 19, 21, 2, 16, 18, 15, 7, 18, 1, 13, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "s", "u", "b", "p", "r", "o", "g", "r", "a", "m" ]
camcorder
en
[ 53, 3, 1, 13, 3, 15, 18, 4, 5, 18, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "c", "a", "m", "c", "o", "r", "d", "e", "r" ]
lulus
en
[ 53, 12, 21, 12, 21, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 1 ]
[ "l", "u", "l", "u", "s" ]
palimpsest
en
[ 53, 16, 1, 12, 9, 13, 16, 19, 5, 19, 20, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "p", "a", "l", "i", "m", "p", "s", "e", "s", "t" ]
teaspoon
en
[ 53, 20, 5, 1, 19, 16, 15, 15, 14, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "t", "e", "a", "s", "p", "o", "o", "n" ]
sophomoric
en
[ 53, 19, 15, 16, 8, 15, 13, 15, 18, 9, 3, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "s", "o", "p", "h", "o", "m", "o", "r", "i", "c" ]
quarrelsomeness
en
[ 53, 17, 21, 1, 18, 18, 5, 12, 19, 15, 13, 5, 14, 5, 19, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "q", "u", "a", "r", "r", "e", "l", "s", "o", "m", "e", "n", "e", "s", "s" ]
gaucheness
en
[ 53, 7, 1, 21, 3, 8, 5, 14, 5, 19, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "g", "a", "u", "c", "h", "e", "n", "e", "s", "s" ]
desperately
en
[ 53, 4, 5, 19, 16, 5, 18, 1, 20, 5, 12, 25, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "d", "e", "s", "p", "e", "r", "a", "t", "e", "l", "y" ]
nearsighted
en
[ 53, 14, 5, 1, 18, 19, 9, 7, 8, 20, 5, 4, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "n", "e", "a", "r", "s", "i", "g", "h", "t", "e", "d" ]
venturousness
en
[ 53, 22, 5, 14, 20, 21, 18, 15, 21, 19, 14, 5, 19, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "v", "e", "n", "t", "u", "r", "o", "u", "s", "n", "e", "s", "s" ]
vindicator
en
[ 53, 22, 9, 14, 4, 9, 3, 1, 20, 15, 18, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "v", "i", "n", "d", "i", "c", "a", "t", "o", "r" ]
squaw
en
[ 53, 19, 17, 21, 1, 23, 54 ]
[ 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 1 ]
[ "s", "q", "u", "a", "w" ]
hideaways
en
[ 53, 8, 9, 4, 5, 1, 23, 1, 25, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "h", "i", "d", "e", "a", "w", "a", "y", "s" ]
plasterer
en
[ 53, 16, 12, 1, 19, 20, 5, 18, 5, 18, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "p", "l", "a", "s", "t", "e", "r", "e", "r" ]
carefullest
en
[ 53, 3, 1, 18, 5, 6, 21, 12, 12, 5, 19, 20, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "c", "a", "r", "e", "f", "u", "l", "l", "e", "s", "t" ]
baste
en
[ 53, 2, 1, 19, 20, 5, 54 ]
[ 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 1 ]
[ "b", "a", "s", "t", "e" ]
fragmented
en
[ 53, 6, 18, 1, 7, 13, 5, 14, 20, 5, 4, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "f", "r", "a", "g", "m", "e", "n", "t", "e", "d" ]
hypoglycemia
en
[ 53, 8, 25, 16, 15, 7, 12, 25, 3, 5, 13, 9, 1, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "h", "y", "p", "o", "g", "l", "y", "c", "e", "m", "i", "a" ]
denouncements
en
[ 53, 4, 5, 14, 15, 21, 14, 3, 5, 13, 5, 14, 20, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "d", "e", "n", "o", "u", "n", "c", "e", "m", "e", "n", "t", "s" ]
bathmat
en
[ 53, 2, 1, 20, 8, 13, 1, 20, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "b", "a", "t", "h", "m", "a", "t" ]
jocoseness
en
[ 53, 10, 15, 3, 15, 19, 5, 14, 5, 19, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "j", "o", "c", "o", "s", "e", "n", "e", "s", "s" ]
elaborations
en
[ 53, 5, 12, 1, 2, 15, 18, 1, 20, 9, 15, 14, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "e", "l", "a", "b", "o", "r", "a", "t", "i", "o", "n", "s" ]
stupefied
en
[ 53, 19, 20, 21, 16, 5, 6, 9, 5, 4, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "s", "t", "u", "p", "e", "f", "i", "e", "d" ]
hindquarter
en
[ 53, 8, 9, 14, 4, 17, 21, 1, 18, 20, 5, 18, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "h", "i", "n", "d", "q", "u", "a", "r", "t", "e", "r" ]
attaining
en
[ 53, 1, 20, 20, 1, 9, 14, 9, 14, 7, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "a", "t", "t", "a", "i", "n", "i", "n", "g" ]
disinter
en
[ 53, 4, 9, 19, 9, 14, 20, 5, 18, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "d", "i", "s", "i", "n", "t", "e", "r" ]
skittishness
en
[ 53, 19, 11, 9, 20, 20, 9, 19, 8, 14, 5, 19, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "s", "k", "i", "t", "t", "i", "s", "h", "n", "e", "s", "s" ]
mopiest
en
[ 53, 13, 15, 16, 9, 5, 19, 20, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "m", "o", "p", "i", "e", "s", "t" ]
binoculars
en
[ 53, 2, 9, 14, 15, 3, 21, 12, 1, 18, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "b", "i", "n", "o", "c", "u", "l", "a", "r", "s" ]
aggravatingly
en
[ 53, 1, 7, 7, 18, 1, 22, 1, 20, 9, 14, 7, 12, 25, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "a", "g", "g", "r", "a", "v", "a", "t", "i", "n", "g", "l", "y" ]
bucolics
en
[ 53, 2, 21, 3, 15, 12, 9, 3, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "b", "u", "c", "o", "l", "i", "c", "s" ]
minnesingers
en
[ 53, 13, 9, 14, 14, 5, 19, 9, 14, 7, 5, 18, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "m", "i", "n", "n", "e", "s", "i", "n", "g", "e", "r", "s" ]
surmounted
en
[ 53, 19, 21, 18, 13, 15, 21, 14, 20, 5, 4, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "s", "u", "r", "m", "o", "u", "n", "t", "e", "d" ]
spuriously
en
[ 53, 19, 16, 21, 18, 9, 15, 21, 19, 12, 25, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "s", "p", "u", "r", "i", "o", "u", "s", "l", "y" ]
rustiest
en
[ 53, 18, 21, 19, 20, 9, 5, 19, 20, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "r", "u", "s", "t", "i", "e", "s", "t" ]
franchiser
en
[ 53, 6, 18, 1, 14, 3, 8, 9, 19, 5, 18, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "f", "r", "a", "n", "c", "h", "i", "s", "e", "r" ]
adios
en
[ 53, 1, 4, 9, 15, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 1 ]
[ "a", "d", "i", "o", "s" ]
reagents
en
[ 53, 18, 5, 1, 7, 5, 14, 20, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "r", "e", "a", "g", "e", "n", "t", "s" ]
plodded
en
[ 53, 16, 12, 15, 4, 4, 5, 4, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "p", "l", "o", "d", "d", "e", "d" ]
biracial
en
[ 53, 2, 9, 18, 1, 3, 9, 1, 12, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "b", "i", "r", "a", "c", "i", "a", "l" ]
brigadiers
en
[ 53, 2, 18, 9, 7, 1, 4, 9, 5, 18, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "b", "r", "i", "g", "a", "d", "i", "e", "r", "s" ]
ferments
en
[ 53, 6, 5, 18, 13, 5, 14, 20, 19, 54 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
[ "f", "e", "r", "m", "e", "n", "t", "s" ]

Dataset Card for "english_char_split"

This is a dataset of English words which have been tokenised by character.

It was originally used to train a RoBERTa model from scratch on the masked language modelling task where during training, characters were randomly masked.

This was ultimately used in an anomaly detection task where the embeddings from the trained model were used to detect non-English words - see full example here.

Downloads last month
105

Models trained or fine-tuned on rchan26/english_char_split