Datasets:

tokenizer-eval
/

universal-wordlevel

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Split (1)

train · 3.73M rows

token large_stringlengths 0 2.87k	tokenizer_count int64 1 200
son	59
food	59
111	59
1200	59
115	59
family	59
rock	59
ice	58
by	58
109	58
320	58
bull	58
box	58
1980	58
ant	58
1970	58
ar	58
shop	58
pet	58
old	58
do	58
gold	58
118	58
01	58
he	58
st	58
us	58
al	58
116	58
full	58
bird	58
168	58
el	58
O	58
bay	58
212	58
city	58
cat	58
sex	58
river	58
gem	58
film	58
bar	58
town	58
1997	58
1985	57
fat	57
up	57
175	57
not	57
book	57
heavy	57
09	57
yes	57
bug	57
650	57
death	57
led	57
135	57
center	57
machine	57
platform	57
form	57
08	57
beach	57
03	57
rose	57
phone	57
cross	57
co	57
144	57
132	57
robot	57
114	57
tank	57
shirt	57
ti	57
210	57
out	57
android	57
190	57
set	57
man	57
jet	57
price	57
230	57
260	57
seat	57
art	57
2022	57
what	57
moon	57
king	57
for	57
bell	57
es	57
mat	57
may	57
gun	57
string	57

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