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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