Datasets:

tokenizer-eval
/

universal-wordlevel

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train · 3.73M rows

token large_stringlengths 0 2.87k	tokenizer_count int64 1 200
silk	54
ink	54
queen	54
2023	54
155	54
te	54
idea	54
158	54
205	54
first	54
monster	54
1978	54
bush	54
hammer	54
planet	54
720	54
ta	53
winter	53
1973	53
card	53
berry	53
file	53
wedding	53
coffee	53
...	53
prince	53
dirty	53
ir	53
poker	53
this	53
rolling	53
430	53
kg	53
1984	53
breakfast	53
sauna	53
yen	53
1967	53
laptop	53
lips	53
milk	53
pool	53
knight	53
valley	53
oh	53
bath	53
950	53
has	53
non	53
bloom	53
1400	53
cork	53
oral	53
mane	53
1974	53
mm	53
storm	53
turkey	53
counter	53
paint	53
split	53
bus	53
princess	53
cm	53
tiger	53
cape	53
guitar	53
next	53
name	53
fish	53
3d	53
noise	53
172	53
148	53
162	53
480	53
cover	53
136	53
188	53
rocket	53
sand	53
say	53
plan	53
201	53
1972	53
toy	53
tv	53
252	53
steam	53
feet	53
ro	53
extra	53
casino	53
hedge	53
290	53
375	53
iv	53
deer	53
ge	53
er	53

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