Dataset Viewer
V1
stringlengths 1
20
⌀ | V2
stringlengths 1
20
| V3
stringlengths 3
38
| variance
float64 0
0.01
⌀ |
|---|---|---|---|
i
|
they
|
i_they
| 0.009055 |
i
|
you
|
i_you
| 0.008457 |
measurement
|
guess
|
measurement_guess
| 0.006976 |
i
|
we
|
i_we
| 0.006553 |
no.
|
yes
|
no._yes
| 0.006405 |
falcate
|
straight
|
falcate_straight
| 0.006305 |
English
|
spanish
|
English_spanish
| 0.006081 |
nobleman
|
lady
|
nobleman_lady
| 0.006051 |
lady
|
nobleman
|
lady_nobleman
| 0.006051 |
kid
|
parent
|
kid_parent
| 0.006026 |
parent
|
kid
|
parent_kid
| 0.006026 |
lee
|
weather
|
lee_weather
| 0.006015 |
avirulent
|
virulent
|
avirulent_virulent
| 0.005939 |
virulent
|
avirulent
|
virulent_avirulent
| 0.005939 |
record
|
cd
|
record_cd
| 0.005912 |
radio
|
tv
|
radio_tv
| 0.005883 |
workforce
|
ceo
|
workforce_ceo
| 0.005829 |
synonymous
|
nonsynonymous
|
synonymous_nonsynonymous
| 0.005803 |
nonsynonymous
|
synonymous
|
nonsynonymous_synonymous
| 0.005803 |
uncle
|
aunty
|
uncle_aunty
| 0.005757 |
aunty
|
uncle
|
aunty_uncle
| 0.005757 |
unsatisfactory
|
okay
|
unsatisfactory_okay
| 0.005735 |
knowledgeable
|
dumb
|
knowledgeable_dumb
| 0.005685 |
intelligent
|
stupid
|
intelligent_stupid
| 0.005679 |
stupid
|
intelligent
|
stupid_intelligent
| 0.005679 |
excellent
|
bad
|
excellent_bad
| 0.005677 |
denominator
|
numerator
|
denominator_numerator
| 0.005677 |
pregnant
|
nonpregnant
|
pregnant_nonpregnant
| 0.005667 |
nonpregnant
|
pregnant
|
nonpregnant_pregnant
| 0.005667 |
compress
|
uncompress
|
compress_uncompress
| 0.00561 |
admiration
|
hate
|
admiration_hate
| 0.005598 |
brilliant
|
stupid
|
brilliant_stupid
| 0.005581 |
exactly
|
approximately
|
exactly_approximately
| 0.005564 |
son
|
parent
|
son_parent
| 0.005535 |
parent
|
son
|
parent_son
| 0.005535 |
philosophical
|
dumb
|
philosophical_dumb
| 0.005526 |
chap
|
moisturize
|
chap_moisturize
| 0.005525 |
satisfactory
|
bad
|
satisfactory_bad
| 0.005519 |
services
|
good
|
services_good
| 0.005516 |
trombone
|
not
|
trombone_not
| 0.005502 |
know
|
unknown
|
know_unknown
| 0.0055 |
shah
|
poor
|
shah_poor
| 0.005495 |
positive
|
bad
|
positive_bad
| 0.005493 |
machine
|
man
|
machine_man
| 0.005477 |
psychology
|
dis
|
psychology_dis
| 0.005475 |
cancerous
|
noncancerous
|
cancerous_noncancerous
| 0.005463 |
cauline
|
radical
|
cauline_radical
| 0.00546 |
quality
|
bad
|
quality_bad
| 0.005446 |
rationale
|
crazy
|
rationale_crazy
| 0.005441 |
bad
|
standard
|
bad_standard
| 0.005439 |
invade
|
un
|
invade_un
| 0.005435 |
tabulate
|
guess
|
tabulate_guess
| 0.005434 |
unrighteous
|
just
|
unrighteous_just
| 0.005429 |
abhorrence
|
love
|
abhorrence_love
| 0.005428 |
beautiful
|
bad
|
beautiful_bad
| 0.005422 |
civilian
|
man
|
civilian_man
| 0.005419 |
man
|
civilian
|
man_civilian
| 0.005419 |
antagonist
|
agonist
|
antagonist_agonist
| 0.005415 |
agonist
|
antagonist
|
agonist_antagonist
| 0.005415 |
shah
|
anarchist
|
shah_anarchist
| 0.005403 |
representative
|
non
|
representative_non
| 0.005387 |
bad
|
comfortable
|
bad_comfortable
| 0.005381 |
complainant
|
suspect
|
complainant_suspect
| 0.005375 |
suspect
|
complainant
|
suspect_complainant
| 0.005375 |
English
|
non
|
English_non
| 0.005371 |
mither
|
father
|
mither_father
| 0.005366 |
plagal
|
authentic
|
plagal_authentic
| 0.005336 |
extrusive
|
intrusive
|
extrusive_intrusive
| 0.005328 |
intrusive
|
extrusive
|
intrusive_extrusive
| 0.005328 |
accelerate
|
retard
|
accelerate_retard
| 0.005326 |
retard
|
accelerate
|
retard_accelerate
| 0.005326 |
sure
|
uncertain
|
sure_uncertain
| 0.005321 |
uncertain
|
sure
|
uncertain_sure
| 0.005321 |
man
|
woman
|
man_woman
| 0.005318 |
woman
|
man
|
woman_man
| 0.005318 |
beautiful
|
nasty
|
beautiful_nasty
| 0.005305 |
eldest
|
last
|
eldest_last
| 0.0053 |
bad
|
superior
|
bad_superior
| 0.005298 |
actual
|
estimated
|
actual_estimated
| 0.005296 |
kid
|
adult
|
kid_adult
| 0.005292 |
gentleman
|
lady
|
gentleman_lady
| 0.005286 |
lady
|
gentleman
|
lady_gentleman
| 0.005286 |
traumatic
|
nontraumatic
|
traumatic_nontraumatic
| 0.005275 |
commonplace
|
odd
|
commonplace_odd
| 0.005271 |
country
|
town
|
country_town
| 0.005268 |
capital
|
town
|
capital_town
| 0.005268 |
endemic
|
non
|
endemic_non
| 0.005254 |
educator
|
ignorant
|
educator_ignorant
| 0.00525 |
double-barreled
|
single-barreled
|
double-barreled_single-barreled
| 0.005236 |
corrigible
|
incorrigible
|
corrigible_incorrigible
| 0.005236 |
ordinary
|
weird
|
ordinary_weird
| 0.005231 |
man
|
female
|
man_female
| 0.00523 |
precocious
|
retarded
|
precocious_retarded
| 0.005228 |
maxima
|
minimum
|
maxima_minimum
| 0.005227 |
disadvantageous
|
good
|
disadvantageous_good
| 0.005221 |
bad
|
benevolent
|
bad_benevolent
| 0.005209 |
critique
|
guess
|
critique_guess
| 0.005207 |
guy
|
girls
|
guy_girls
| 0.005204 |
ideal
|
bad
|
ideal_bad
| 0.005201 |
semicircular
|
straight
|
semicircular_straight
| 0.005193 |
End of preview. Expand
in Data Studio
I collected a few antonym pairs from several sources for creating interpretable embeddings. This file also contains the variance computed on quantized (english) fasttext embedings.
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