Datasets:

rchan26
/

english_char_split

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" ]

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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: 79

Size of downloaded dataset files:

2.21 MB

Size of the auto-converted Parquet files:

2.21 MB

Number of rows:

70,615

Models trained or fine-tuned on rchan26/english_char_split

rchan26/english-char-roberta

Fill-Mask • Updated Sep 2, 2024 • 3