Localize traitor codeverbs datasets (#35737)
* Localize verbs dataset * Localize adjectives dataset * Localize corporations dataset * Update TraitorRuleSystem to use LocalizedDatasetPrototype instead of DatasetPrototype
This commit is contained in:
MilenVolf
deltanedas
parent
13d34debe4
commit
2a667309ba
|
|
@ -24,13 +24,13 @@ public sealed partial class TraitorRuleComponent : Component
|
|||
public ProtoId<NpcFactionPrototype> SyndicateFaction = "Syndicate";
|
||||
|
||||
[DataField]
|
||||
public ProtoId<DatasetPrototype> CodewordAdjectives = "adjectives";
|
||||
public ProtoId<LocalizedDatasetPrototype> CodewordAdjectives = "Adjectives";
|
||||
|
||||
[DataField]
|
||||
public ProtoId<DatasetPrototype> CodewordVerbs = "verbs";
|
||||
public ProtoId<LocalizedDatasetPrototype> CodewordVerbs = "Verbs";
|
||||
|
||||
[DataField]
|
||||
public ProtoId<DatasetPrototype> ObjectiveIssuers = "TraitorCorporations";
|
||||
public ProtoId<LocalizedDatasetPrototype> ObjectiveIssuers = "TraitorCorporations";
|
||||
|
||||
/// <summary>
|
||||
/// Give this traitor an Uplink on spawn.
|
||||
|
|
|
|||
|
|
@ -12,6 +12,7 @@ using Content.Shared.GameTicking.Components;
|
|||
using Content.Shared.Mind;
|
||||
using Content.Shared.NPC.Systems;
|
||||
using Content.Shared.PDA;
|
||||
using Content.Shared.Random.Helpers;
|
||||
using Content.Shared.Roles;
|
||||
using Content.Shared.Roles.Jobs;
|
||||
using Content.Shared.Roles.RoleCodeword;
|
||||
|
|
@ -74,7 +75,7 @@ public sealed class TraitorRuleSystem : GameRuleSystem<TraitorRuleComponent>
|
|||
string[] codewords = new string[finalCodewordCount];
|
||||
for (var i = 0; i < finalCodewordCount; i++)
|
||||
{
|
||||
codewords[i] = _random.PickAndTake(codewordPool);
|
||||
codewords[i] = Loc.GetString(_random.PickAndTake(codewordPool));
|
||||
}
|
||||
return codewords;
|
||||
}
|
||||
|
|
@ -98,7 +99,7 @@ public sealed class TraitorRuleSystem : GameRuleSystem<TraitorRuleComponent>
|
|||
briefing = Loc.GetString("traitor-role-codewords-short", ("codewords", string.Join(", ", component.Codewords)));
|
||||
}
|
||||
|
||||
var issuer = _random.Pick(_prototypeManager.Index(component.ObjectiveIssuers).Values);
|
||||
var issuer = _random.Pick(_prototypeManager.Index(component.ObjectiveIssuers));
|
||||
|
||||
// Uplink code will go here if applicable, but we still need the variable if there aren't any
|
||||
Note[]? code = null;
|
||||
|
|
|
|||
|
|
@ -0,0 +1,396 @@
|
|||
adjectives-dataset-1 = adorable
|
||||
adjectives-dataset-2 = adventurous
|
||||
adjectives-dataset-3 = aggressive
|
||||
adjectives-dataset-4 = alert
|
||||
adjectives-dataset-5 = attractive
|
||||
adjectives-dataset-6 = average
|
||||
adjectives-dataset-7 = beautiful
|
||||
adjectives-dataset-8 = blue-eyed
|
||||
adjectives-dataset-9 = bloody
|
||||
adjectives-dataset-10 = blushing
|
||||
adjectives-dataset-11 = bright
|
||||
adjectives-dataset-12 = clean
|
||||
adjectives-dataset-13 = clear
|
||||
adjectives-dataset-14 = cloudy
|
||||
adjectives-dataset-15 = colorful
|
||||
adjectives-dataset-16 = crowded
|
||||
adjectives-dataset-17 = cute
|
||||
adjectives-dataset-18 = dark
|
||||
adjectives-dataset-19 = drab
|
||||
adjectives-dataset-20 = distinct
|
||||
adjectives-dataset-21 = dull
|
||||
adjectives-dataset-22 = elegant
|
||||
adjectives-dataset-23 = excited
|
||||
adjectives-dataset-24 = fancy
|
||||
adjectives-dataset-25 = filthy
|
||||
adjectives-dataset-26 = glamorous
|
||||
adjectives-dataset-27 = gleaming
|
||||
adjectives-dataset-28 = gorgeous
|
||||
adjectives-dataset-29 = graceful
|
||||
adjectives-dataset-30 = grotesque
|
||||
adjectives-dataset-31 = handsome
|
||||
adjectives-dataset-32 = homely
|
||||
adjectives-dataset-33 = light
|
||||
adjectives-dataset-34 = long
|
||||
adjectives-dataset-35 = magnificent
|
||||
adjectives-dataset-36 = misty
|
||||
adjectives-dataset-37 = motionless
|
||||
adjectives-dataset-38 = muddy
|
||||
adjectives-dataset-39 = old-fashioned
|
||||
adjectives-dataset-40 = plain
|
||||
adjectives-dataset-41 = poised
|
||||
adjectives-dataset-42 = precious
|
||||
adjectives-dataset-43 = quaint
|
||||
adjectives-dataset-44 = shiny
|
||||
adjectives-dataset-45 = smoggy
|
||||
adjectives-dataset-46 = sparkling
|
||||
adjectives-dataset-47 = spotless
|
||||
adjectives-dataset-48 = stormy
|
||||
adjectives-dataset-49 = strange
|
||||
adjectives-dataset-50 = ugly
|
||||
adjectives-dataset-51 = ugliest
|
||||
adjectives-dataset-52 = unsightly
|
||||
adjectives-dataset-53 = unusual
|
||||
adjectives-dataset-54 = wide-eyed
|
||||
adjectives-dataset-55 = alive
|
||||
adjectives-dataset-56 = annoying
|
||||
adjectives-dataset-57 = bad
|
||||
adjectives-dataset-58 = better
|
||||
adjectives-dataset-59 = beautiful
|
||||
adjectives-dataset-60 = brainy
|
||||
adjectives-dataset-61 = breakable
|
||||
adjectives-dataset-62 = busy
|
||||
adjectives-dataset-63 = careful
|
||||
adjectives-dataset-64 = cautious
|
||||
adjectives-dataset-65 = clever
|
||||
adjectives-dataset-66 = clumsy
|
||||
adjectives-dataset-67 = concerned
|
||||
adjectives-dataset-68 = crazy
|
||||
adjectives-dataset-69 = curious
|
||||
adjectives-dataset-70 = dead
|
||||
adjectives-dataset-71 = different
|
||||
adjectives-dataset-72 = difficult
|
||||
adjectives-dataset-73 = doubtful
|
||||
adjectives-dataset-74 = easy
|
||||
adjectives-dataset-75 = expensive
|
||||
adjectives-dataset-76 = famous
|
||||
adjectives-dataset-77 = fragile
|
||||
adjectives-dataset-78 = frail
|
||||
adjectives-dataset-79 = gifted
|
||||
adjectives-dataset-80 = helpful
|
||||
adjectives-dataset-81 = helpless
|
||||
adjectives-dataset-82 = horrible
|
||||
adjectives-dataset-83 = important
|
||||
adjectives-dataset-84 = impossible
|
||||
adjectives-dataset-85 = inexpensive
|
||||
adjectives-dataset-86 = innocent
|
||||
adjectives-dataset-87 = inquisitive
|
||||
adjectives-dataset-88 = modern
|
||||
adjectives-dataset-89 = mushy
|
||||
adjectives-dataset-90 = odd
|
||||
adjectives-dataset-91 = open
|
||||
adjectives-dataset-92 = outstanding
|
||||
adjectives-dataset-93 = poor
|
||||
adjectives-dataset-94 = powerful
|
||||
adjectives-dataset-95 = prickly
|
||||
adjectives-dataset-96 = puzzled
|
||||
adjectives-dataset-97 = real
|
||||
adjectives-dataset-98 = rich
|
||||
adjectives-dataset-99 = shy
|
||||
adjectives-dataset-100 = sleepy
|
||||
adjectives-dataset-101 = stupid
|
||||
adjectives-dataset-102 = super
|
||||
adjectives-dataset-103 = talented
|
||||
adjectives-dataset-104 = tame
|
||||
adjectives-dataset-105 = tender
|
||||
adjectives-dataset-106 = tough
|
||||
adjectives-dataset-107 = uninterested
|
||||
adjectives-dataset-108 = vast
|
||||
adjectives-dataset-109 = wandering
|
||||
adjectives-dataset-110 = wild
|
||||
adjectives-dataset-111 = wrong
|
||||
adjectives-dataset-112 = angry
|
||||
adjectives-dataset-113 = annoyed
|
||||
adjectives-dataset-114 = anxious
|
||||
adjectives-dataset-115 = arrogant
|
||||
adjectives-dataset-116 = ashamed
|
||||
adjectives-dataset-117 = awful
|
||||
adjectives-dataset-118 = bad
|
||||
adjectives-dataset-119 = bewildered
|
||||
adjectives-dataset-120 = black
|
||||
adjectives-dataset-121 = blue
|
||||
adjectives-dataset-122 = bored
|
||||
adjectives-dataset-123 = clumsy
|
||||
adjectives-dataset-124 = combative
|
||||
adjectives-dataset-125 = condemned
|
||||
adjectives-dataset-126 = confused
|
||||
adjectives-dataset-127 = crazy,flipped-out
|
||||
adjectives-dataset-128 = creepy
|
||||
adjectives-dataset-129 = cruel
|
||||
adjectives-dataset-130 = dangerous
|
||||
adjectives-dataset-131 = defeated
|
||||
adjectives-dataset-132 = defiant
|
||||
adjectives-dataset-133 = depressed
|
||||
adjectives-dataset-134 = disgusted
|
||||
adjectives-dataset-135 = disturbed
|
||||
adjectives-dataset-136 = dizzy
|
||||
adjectives-dataset-137 = dull
|
||||
adjectives-dataset-138 = embarrassed
|
||||
adjectives-dataset-139 = envious
|
||||
adjectives-dataset-140 = evil
|
||||
adjectives-dataset-141 = fierce
|
||||
adjectives-dataset-142 = foolish
|
||||
adjectives-dataset-143 = frantic
|
||||
adjectives-dataset-144 = frightened
|
||||
adjectives-dataset-145 = grieving
|
||||
adjectives-dataset-146 = grumpy
|
||||
adjectives-dataset-147 = helpless
|
||||
adjectives-dataset-148 = homeless
|
||||
adjectives-dataset-149 = hungry
|
||||
adjectives-dataset-150 = hurt
|
||||
adjectives-dataset-151 = ill
|
||||
adjectives-dataset-152 = itchy
|
||||
adjectives-dataset-153 = jealous
|
||||
adjectives-dataset-154 = jittery
|
||||
adjectives-dataset-155 = lazy
|
||||
adjectives-dataset-156 = lonely
|
||||
adjectives-dataset-157 = mysterious
|
||||
adjectives-dataset-158 = nasty
|
||||
adjectives-dataset-159 = naughty
|
||||
adjectives-dataset-160 = nervous
|
||||
adjectives-dataset-161 = nutty
|
||||
adjectives-dataset-162 = obnoxious
|
||||
adjectives-dataset-163 = outrageous
|
||||
adjectives-dataset-164 = panicky
|
||||
adjectives-dataset-165 = repulsive
|
||||
adjectives-dataset-166 = scary
|
||||
adjectives-dataset-167 = selfish
|
||||
adjectives-dataset-168 = sore
|
||||
adjectives-dataset-169 = tense
|
||||
adjectives-dataset-170 = terrible
|
||||
adjectives-dataset-171 = testy
|
||||
adjectives-dataset-172 = thoughtless
|
||||
adjectives-dataset-173 = tired
|
||||
adjectives-dataset-174 = troubled
|
||||
adjectives-dataset-175 = upset
|
||||
adjectives-dataset-176 = uptight
|
||||
adjectives-dataset-177 = weary
|
||||
adjectives-dataset-178 = wicked
|
||||
adjectives-dataset-179 = worried
|
||||
adjectives-dataset-180 = agreeable
|
||||
adjectives-dataset-181 = amused
|
||||
adjectives-dataset-182 = brave
|
||||
adjectives-dataset-183 = calm
|
||||
adjectives-dataset-184 = charming
|
||||
adjectives-dataset-185 = cheerful
|
||||
adjectives-dataset-186 = comfortable
|
||||
adjectives-dataset-187 = cooperative
|
||||
adjectives-dataset-188 = courageous
|
||||
adjectives-dataset-189 = delightful
|
||||
adjectives-dataset-190 = determined
|
||||
adjectives-dataset-191 = eager
|
||||
adjectives-dataset-192 = elated
|
||||
adjectives-dataset-193 = enchanting
|
||||
adjectives-dataset-194 = encouraging
|
||||
adjectives-dataset-195 = energetic
|
||||
adjectives-dataset-196 = enthusiastic
|
||||
adjectives-dataset-197 = excited
|
||||
adjectives-dataset-198 = exuberant
|
||||
adjectives-dataset-199 = fair
|
||||
adjectives-dataset-200 = faithful
|
||||
adjectives-dataset-201 = fantastic
|
||||
adjectives-dataset-202 = fine
|
||||
adjectives-dataset-203 = friendly
|
||||
adjectives-dataset-204 = funny
|
||||
adjectives-dataset-205 = gentle
|
||||
adjectives-dataset-206 = glorious
|
||||
adjectives-dataset-207 = good
|
||||
adjectives-dataset-208 = happy
|
||||
adjectives-dataset-209 = healthy
|
||||
adjectives-dataset-210 = helpful
|
||||
adjectives-dataset-211 = hilarious
|
||||
adjectives-dataset-212 = jolly
|
||||
adjectives-dataset-213 = joyous
|
||||
adjectives-dataset-214 = kind
|
||||
adjectives-dataset-215 = lively
|
||||
adjectives-dataset-216 = lovely
|
||||
adjectives-dataset-217 = lucky
|
||||
adjectives-dataset-218 = nice
|
||||
adjectives-dataset-219 = obedient
|
||||
adjectives-dataset-220 = perfect
|
||||
adjectives-dataset-221 = pleasant
|
||||
adjectives-dataset-222 = proud
|
||||
adjectives-dataset-223 = relieved
|
||||
adjectives-dataset-224 = silly
|
||||
adjectives-dataset-225 = smiling
|
||||
adjectives-dataset-226 = splendid
|
||||
adjectives-dataset-227 = successful
|
||||
adjectives-dataset-228 = thankful
|
||||
adjectives-dataset-229 = thoughtful
|
||||
adjectives-dataset-230 = victorious
|
||||
adjectives-dataset-231 = vivacious
|
||||
adjectives-dataset-232 = witty
|
||||
adjectives-dataset-233 = wonderful
|
||||
adjectives-dataset-234 = zealous
|
||||
adjectives-dataset-235 = zany
|
||||
adjectives-dataset-236 = broad
|
||||
adjectives-dataset-237 = chubby
|
||||
adjectives-dataset-238 = crooked
|
||||
adjectives-dataset-239 = curved
|
||||
adjectives-dataset-240 = deep
|
||||
adjectives-dataset-241 = flat
|
||||
adjectives-dataset-242 = high
|
||||
adjectives-dataset-243 = hollow
|
||||
adjectives-dataset-244 = low
|
||||
adjectives-dataset-245 = narrow
|
||||
adjectives-dataset-246 = round
|
||||
adjectives-dataset-247 = shallow
|
||||
adjectives-dataset-248 = skinny
|
||||
adjectives-dataset-249 = square
|
||||
adjectives-dataset-250 = steep
|
||||
adjectives-dataset-251 = straight
|
||||
adjectives-dataset-252 = wide
|
||||
adjectives-dataset-253 = big
|
||||
adjectives-dataset-254 = colossal
|
||||
adjectives-dataset-255 = fat
|
||||
adjectives-dataset-256 = gigantic
|
||||
adjectives-dataset-257 = great
|
||||
adjectives-dataset-258 = huge
|
||||
adjectives-dataset-259 = immense
|
||||
adjectives-dataset-260 = large
|
||||
adjectives-dataset-261 = little
|
||||
adjectives-dataset-262 = mammoth
|
||||
adjectives-dataset-263 = massive
|
||||
adjectives-dataset-264 = miniature
|
||||
adjectives-dataset-265 = petite
|
||||
adjectives-dataset-266 = puny
|
||||
adjectives-dataset-267 = scrawny
|
||||
adjectives-dataset-268 = short
|
||||
adjectives-dataset-269 = small
|
||||
adjectives-dataset-270 = tall
|
||||
adjectives-dataset-271 = teeny
|
||||
adjectives-dataset-272 = teeny-tiny
|
||||
adjectives-dataset-273 = tiny
|
||||
adjectives-dataset-274 = cooing
|
||||
adjectives-dataset-275 = deafening
|
||||
adjectives-dataset-276 = faint
|
||||
adjectives-dataset-277 = harsh
|
||||
adjectives-dataset-278 = high-pitched
|
||||
adjectives-dataset-279 = hissing
|
||||
adjectives-dataset-280 = hushed
|
||||
adjectives-dataset-281 = husky
|
||||
adjectives-dataset-282 = loud
|
||||
adjectives-dataset-283 = melodic
|
||||
adjectives-dataset-284 = moaning
|
||||
adjectives-dataset-285 = mute
|
||||
adjectives-dataset-286 = noisy
|
||||
adjectives-dataset-287 = purring
|
||||
adjectives-dataset-288 = quiet
|
||||
adjectives-dataset-289 = raspy
|
||||
adjectives-dataset-290 = resonant
|
||||
adjectives-dataset-291 = screeching
|
||||
adjectives-dataset-292 = shrill
|
||||
adjectives-dataset-293 = silent
|
||||
adjectives-dataset-294 = soft
|
||||
adjectives-dataset-295 = squealing
|
||||
adjectives-dataset-296 = thundering
|
||||
adjectives-dataset-297 = voiceless
|
||||
adjectives-dataset-298 = whispering
|
||||
adjectives-dataset-299 = ancient
|
||||
adjectives-dataset-300 = brief
|
||||
adjectives-dataset-301 = early
|
||||
adjectives-dataset-302 = fast
|
||||
adjectives-dataset-303 = late
|
||||
adjectives-dataset-304 = long
|
||||
adjectives-dataset-305 = modern
|
||||
adjectives-dataset-306 = old
|
||||
adjectives-dataset-307 = old-fashioned
|
||||
adjectives-dataset-308 = quick
|
||||
adjectives-dataset-309 = rapid
|
||||
adjectives-dataset-310 = short
|
||||
adjectives-dataset-311 = slow
|
||||
adjectives-dataset-312 = swift
|
||||
adjectives-dataset-313 = young
|
||||
adjectives-dataset-314 = bitter
|
||||
adjectives-dataset-315 = delicious
|
||||
adjectives-dataset-316 = fresh
|
||||
adjectives-dataset-317 = juicy
|
||||
adjectives-dataset-318 = ripe
|
||||
adjectives-dataset-319 = rotten
|
||||
adjectives-dataset-320 = salty
|
||||
adjectives-dataset-321 = sour
|
||||
adjectives-dataset-322 = spicy
|
||||
adjectives-dataset-323 = stale
|
||||
adjectives-dataset-324 = sticky
|
||||
adjectives-dataset-325 = strong
|
||||
adjectives-dataset-326 = sweet
|
||||
adjectives-dataset-327 = tart
|
||||
adjectives-dataset-328 = tasteless
|
||||
adjectives-dataset-329 = tasty
|
||||
adjectives-dataset-330 = thirsty
|
||||
adjectives-dataset-331 = fluttering
|
||||
adjectives-dataset-332 = fuzzy
|
||||
adjectives-dataset-333 = greasy
|
||||
adjectives-dataset-334 = grubby
|
||||
adjectives-dataset-335 = hard
|
||||
adjectives-dataset-336 = hot
|
||||
adjectives-dataset-337 = icy
|
||||
adjectives-dataset-338 = loose
|
||||
adjectives-dataset-339 = melted
|
||||
adjectives-dataset-340 = nutritious
|
||||
adjectives-dataset-341 = plastic
|
||||
adjectives-dataset-342 = prickly
|
||||
adjectives-dataset-343 = rainy
|
||||
adjectives-dataset-344 = rough
|
||||
adjectives-dataset-345 = scattered
|
||||
adjectives-dataset-346 = shaggy
|
||||
adjectives-dataset-347 = shaky
|
||||
adjectives-dataset-348 = sharp
|
||||
adjectives-dataset-349 = shivering
|
||||
adjectives-dataset-350 = silky
|
||||
adjectives-dataset-351 = slimy
|
||||
adjectives-dataset-352 = slippery
|
||||
adjectives-dataset-353 = smooth
|
||||
adjectives-dataset-354 = soft
|
||||
adjectives-dataset-355 = solid
|
||||
adjectives-dataset-356 = steady
|
||||
adjectives-dataset-357 = sticky
|
||||
adjectives-dataset-358 = tender
|
||||
adjectives-dataset-359 = tight
|
||||
adjectives-dataset-360 = uneven
|
||||
adjectives-dataset-361 = weak
|
||||
adjectives-dataset-362 = wet
|
||||
adjectives-dataset-363 = wooden
|
||||
adjectives-dataset-364 = yummy
|
||||
adjectives-dataset-365 = boiling
|
||||
adjectives-dataset-366 = breezy
|
||||
adjectives-dataset-367 = broken
|
||||
adjectives-dataset-368 = bumpy
|
||||
adjectives-dataset-369 = chilly
|
||||
adjectives-dataset-370 = cold
|
||||
adjectives-dataset-371 = cool
|
||||
adjectives-dataset-372 = creepy
|
||||
adjectives-dataset-373 = crooked
|
||||
adjectives-dataset-374 = cuddly
|
||||
adjectives-dataset-375 = curly
|
||||
adjectives-dataset-376 = damaged
|
||||
adjectives-dataset-377 = damp
|
||||
adjectives-dataset-378 = dirty
|
||||
adjectives-dataset-379 = dry
|
||||
adjectives-dataset-380 = dusty
|
||||
adjectives-dataset-381 = filthy
|
||||
adjectives-dataset-382 = flaky
|
||||
adjectives-dataset-383 = fluffy
|
||||
adjectives-dataset-384 = freezing
|
||||
adjectives-dataset-385 = hot
|
||||
adjectives-dataset-386 = warm
|
||||
adjectives-dataset-387 = wet
|
||||
adjectives-dataset-388 = abundant
|
||||
adjectives-dataset-389 = empty
|
||||
adjectives-dataset-390 = few
|
||||
adjectives-dataset-391 = heavy
|
||||
adjectives-dataset-392 = light
|
||||
adjectives-dataset-393 = many
|
||||
adjectives-dataset-394 = numerous
|
||||
adjectives-dataset-395 = substantial
|
||||
adjectives-dataset-396 = capitalist
|
||||
|
|
@ -0,0 +1,9 @@
|
|||
traitor-corporations-dataset-1 = "CyberSun Industries"
|
||||
traitor-corporations-dataset-2 = "Gorlex Marauders"
|
||||
traitor-corporations-dataset-3 = "MI13"
|
||||
traitor-corporations-dataset-4 = "Tiger Cooperative"
|
||||
traitor-corporations-dataset-5 = "S.E.L.F."
|
||||
traitor-corporations-dataset-6 = "Animal Rights Consortium"
|
||||
traitor-corporations-dataset-7 = "Donk Corporation"
|
||||
traitor-corporations-dataset-8 = "Waffle Corporation"
|
||||
traitor-corporations-dataset-9 = "Interdyne Pharmaceutics"
|
||||
|
|
@ -0,0 +1,631 @@
|
|||
verbs-dataset-1 = accept
|
||||
verbs-dataset-2 = add
|
||||
verbs-dataset-3 = admire
|
||||
verbs-dataset-4 = admit
|
||||
verbs-dataset-5 = advise
|
||||
verbs-dataset-6 = afford
|
||||
verbs-dataset-7 = agree
|
||||
verbs-dataset-8 = alert
|
||||
verbs-dataset-9 = allow
|
||||
verbs-dataset-10 = amuse
|
||||
verbs-dataset-11 = analyse
|
||||
verbs-dataset-12 = announce
|
||||
verbs-dataset-13 = annoy
|
||||
verbs-dataset-14 = answer
|
||||
verbs-dataset-15 = apologise
|
||||
verbs-dataset-16 = appear
|
||||
verbs-dataset-17 = applaud
|
||||
verbs-dataset-18 = appreciate
|
||||
verbs-dataset-19 = approve
|
||||
verbs-dataset-20 = argue
|
||||
verbs-dataset-21 = arrange
|
||||
verbs-dataset-22 = arrest
|
||||
verbs-dataset-23 = arrive
|
||||
verbs-dataset-24 = ask
|
||||
verbs-dataset-25 = attach
|
||||
verbs-dataset-26 = attack
|
||||
verbs-dataset-27 = attempt
|
||||
verbs-dataset-28 = attend
|
||||
verbs-dataset-29 = attract
|
||||
verbs-dataset-30 = avoid
|
||||
verbs-dataset-31 = back
|
||||
verbs-dataset-32 = bake
|
||||
verbs-dataset-33 = balance
|
||||
verbs-dataset-34 = ban
|
||||
verbs-dataset-35 = bang
|
||||
verbs-dataset-36 = bare
|
||||
verbs-dataset-37 = bat
|
||||
verbs-dataset-38 = bathe
|
||||
verbs-dataset-39 = battle
|
||||
verbs-dataset-40 = beam
|
||||
verbs-dataset-41 = beg
|
||||
verbs-dataset-42 = behave
|
||||
verbs-dataset-43 = belong
|
||||
verbs-dataset-44 = bleach
|
||||
verbs-dataset-45 = bless
|
||||
verbs-dataset-46 = blind
|
||||
verbs-dataset-47 = blink
|
||||
verbs-dataset-48 = blot
|
||||
verbs-dataset-49 = blush
|
||||
verbs-dataset-50 = boast
|
||||
verbs-dataset-51 = boil
|
||||
verbs-dataset-52 = bolt
|
||||
verbs-dataset-53 = bomb
|
||||
verbs-dataset-54 = book
|
||||
verbs-dataset-55 = bore
|
||||
verbs-dataset-56 = borrow
|
||||
verbs-dataset-57 = bounce
|
||||
verbs-dataset-58 = bow
|
||||
verbs-dataset-59 = box
|
||||
verbs-dataset-60 = brake
|
||||
verbs-dataset-61 = brake
|
||||
verbs-dataset-62 = branch
|
||||
verbs-dataset-63 = breathe
|
||||
verbs-dataset-64 = bruise
|
||||
verbs-dataset-65 = brush
|
||||
verbs-dataset-66 = bubble
|
||||
verbs-dataset-67 = bump
|
||||
verbs-dataset-68 = burn
|
||||
verbs-dataset-69 = bury
|
||||
verbs-dataset-70 = buzz
|
||||
verbs-dataset-71 = calculate
|
||||
verbs-dataset-72 = call
|
||||
verbs-dataset-73 = camp
|
||||
verbs-dataset-74 = care
|
||||
verbs-dataset-75 = carry
|
||||
verbs-dataset-76 = carve
|
||||
verbs-dataset-77 = cause
|
||||
verbs-dataset-78 = challenge
|
||||
verbs-dataset-79 = change
|
||||
verbs-dataset-80 = charge
|
||||
verbs-dataset-81 = chase
|
||||
verbs-dataset-82 = cheat
|
||||
verbs-dataset-83 = check
|
||||
verbs-dataset-84 = cheer
|
||||
verbs-dataset-85 = chew
|
||||
verbs-dataset-86 = choke
|
||||
verbs-dataset-87 = chop
|
||||
verbs-dataset-88 = claim
|
||||
verbs-dataset-89 = clap
|
||||
verbs-dataset-90 = clean
|
||||
verbs-dataset-91 = clear
|
||||
verbs-dataset-92 = clip
|
||||
verbs-dataset-93 = close
|
||||
verbs-dataset-94 = coach
|
||||
verbs-dataset-95 = coil
|
||||
verbs-dataset-96 = collect
|
||||
verbs-dataset-97 = colour
|
||||
verbs-dataset-98 = comb
|
||||
verbs-dataset-99 = command
|
||||
verbs-dataset-100 = communicate
|
||||
verbs-dataset-101 = compare
|
||||
verbs-dataset-102 = compete
|
||||
verbs-dataset-103 = complain
|
||||
verbs-dataset-104 = complete
|
||||
verbs-dataset-105 = concentrate
|
||||
verbs-dataset-106 = concern
|
||||
verbs-dataset-107 = confess
|
||||
verbs-dataset-108 = confuse
|
||||
verbs-dataset-109 = connect
|
||||
verbs-dataset-110 = consider
|
||||
verbs-dataset-111 = consist
|
||||
verbs-dataset-112 = contain
|
||||
verbs-dataset-113 = continue
|
||||
verbs-dataset-114 = copy
|
||||
verbs-dataset-115 = correct
|
||||
verbs-dataset-116 = cough
|
||||
verbs-dataset-117 = count
|
||||
verbs-dataset-118 = cover
|
||||
verbs-dataset-119 = crack
|
||||
verbs-dataset-120 = crash
|
||||
verbs-dataset-121 = crawl
|
||||
verbs-dataset-122 = cross
|
||||
verbs-dataset-123 = crush
|
||||
verbs-dataset-124 = cry
|
||||
verbs-dataset-125 = cure
|
||||
verbs-dataset-126 = curl
|
||||
verbs-dataset-127 = curve
|
||||
verbs-dataset-128 = cycle
|
||||
verbs-dataset-129 = dam
|
||||
verbs-dataset-130 = damage
|
||||
verbs-dataset-131 = dance
|
||||
verbs-dataset-132 = dare
|
||||
verbs-dataset-133 = decay
|
||||
verbs-dataset-134 = deceive
|
||||
verbs-dataset-135 = decide
|
||||
verbs-dataset-136 = decorate
|
||||
verbs-dataset-137 = delay
|
||||
verbs-dataset-138 = delight
|
||||
verbs-dataset-139 = deliver
|
||||
verbs-dataset-140 = depend
|
||||
verbs-dataset-141 = describe
|
||||
verbs-dataset-142 = desert
|
||||
verbs-dataset-143 = deserve
|
||||
verbs-dataset-144 = destroy
|
||||
verbs-dataset-145 = detect
|
||||
verbs-dataset-146 = develop
|
||||
verbs-dataset-147 = disagree
|
||||
verbs-dataset-148 = disappear
|
||||
verbs-dataset-149 = disapprove
|
||||
verbs-dataset-150 = disarm
|
||||
verbs-dataset-151 = discover
|
||||
verbs-dataset-152 = dislike
|
||||
verbs-dataset-153 = divide
|
||||
verbs-dataset-154 = double
|
||||
verbs-dataset-155 = doubt
|
||||
verbs-dataset-156 = drag
|
||||
verbs-dataset-157 = drain
|
||||
verbs-dataset-158 = dream
|
||||
verbs-dataset-159 = dress
|
||||
verbs-dataset-160 = drip
|
||||
verbs-dataset-161 = drop
|
||||
verbs-dataset-162 = drown
|
||||
verbs-dataset-163 = drum
|
||||
verbs-dataset-164 = dry
|
||||
verbs-dataset-165 = dust
|
||||
verbs-dataset-166 = earn
|
||||
verbs-dataset-167 = educate
|
||||
verbs-dataset-168 = embarrass
|
||||
verbs-dataset-169 = employ
|
||||
verbs-dataset-170 = empty
|
||||
verbs-dataset-171 = encourage
|
||||
verbs-dataset-172 = end
|
||||
verbs-dataset-173 = enjoy
|
||||
verbs-dataset-174 = enter
|
||||
verbs-dataset-175 = entertain
|
||||
verbs-dataset-176 = escape
|
||||
verbs-dataset-177 = examine
|
||||
verbs-dataset-178 = excite
|
||||
verbs-dataset-179 = excuse
|
||||
verbs-dataset-180 = exercise
|
||||
verbs-dataset-181 = exist
|
||||
verbs-dataset-182 = expand
|
||||
verbs-dataset-183 = expect
|
||||
verbs-dataset-184 = explain
|
||||
verbs-dataset-185 = explode
|
||||
verbs-dataset-186 = extend
|
||||
verbs-dataset-187 = face
|
||||
verbs-dataset-188 = fade
|
||||
verbs-dataset-189 = fail
|
||||
verbs-dataset-190 = fancy
|
||||
verbs-dataset-191 = fasten
|
||||
verbs-dataset-192 = fax
|
||||
verbs-dataset-193 = fear
|
||||
verbs-dataset-194 = fence
|
||||
verbs-dataset-195 = fetch
|
||||
verbs-dataset-196 = file
|
||||
verbs-dataset-197 = fill
|
||||
verbs-dataset-198 = film
|
||||
verbs-dataset-199 = fire
|
||||
verbs-dataset-200 = fit
|
||||
verbs-dataset-201 = fix
|
||||
verbs-dataset-202 = flap
|
||||
verbs-dataset-203 = flash
|
||||
verbs-dataset-204 = float
|
||||
verbs-dataset-205 = flood
|
||||
verbs-dataset-206 = flow
|
||||
verbs-dataset-207 = flower
|
||||
verbs-dataset-208 = fold
|
||||
verbs-dataset-209 = follow
|
||||
verbs-dataset-210 = fool
|
||||
verbs-dataset-211 = force
|
||||
verbs-dataset-212 = form
|
||||
verbs-dataset-213 = found
|
||||
verbs-dataset-214 = frame
|
||||
verbs-dataset-215 = frighten
|
||||
verbs-dataset-216 = fry
|
||||
verbs-dataset-217 = gather
|
||||
verbs-dataset-218 = gaze
|
||||
verbs-dataset-219 = glow
|
||||
verbs-dataset-220 = glue
|
||||
verbs-dataset-221 = grab
|
||||
verbs-dataset-222 = grate
|
||||
verbs-dataset-223 = grease
|
||||
verbs-dataset-224 = greet
|
||||
verbs-dataset-225 = grin
|
||||
verbs-dataset-226 = grip
|
||||
verbs-dataset-227 = groan
|
||||
verbs-dataset-228 = guarantee
|
||||
verbs-dataset-229 = guard
|
||||
verbs-dataset-230 = guess
|
||||
verbs-dataset-231 = guide
|
||||
verbs-dataset-232 = hammer
|
||||
verbs-dataset-233 = hand
|
||||
verbs-dataset-234 = handle
|
||||
verbs-dataset-235 = hang
|
||||
verbs-dataset-236 = happen
|
||||
verbs-dataset-237 = harass
|
||||
verbs-dataset-238 = harm
|
||||
verbs-dataset-239 = hate
|
||||
verbs-dataset-240 = haunt
|
||||
verbs-dataset-241 = head
|
||||
verbs-dataset-242 = heal
|
||||
verbs-dataset-243 = heap
|
||||
verbs-dataset-244 = heat
|
||||
verbs-dataset-245 = help
|
||||
verbs-dataset-246 = hook
|
||||
verbs-dataset-247 = hop
|
||||
verbs-dataset-248 = hope
|
||||
verbs-dataset-249 = hover
|
||||
verbs-dataset-250 = hug
|
||||
verbs-dataset-251 = hum
|
||||
verbs-dataset-252 = hunt
|
||||
verbs-dataset-253 = hurry
|
||||
verbs-dataset-254 = identify
|
||||
verbs-dataset-255 = ignore
|
||||
verbs-dataset-256 = imagine
|
||||
verbs-dataset-257 = impress
|
||||
verbs-dataset-258 = improve
|
||||
verbs-dataset-259 = include
|
||||
verbs-dataset-260 = increase
|
||||
verbs-dataset-261 = influence
|
||||
verbs-dataset-262 = inform
|
||||
verbs-dataset-263 = inject
|
||||
verbs-dataset-264 = injure
|
||||
verbs-dataset-265 = instruct
|
||||
verbs-dataset-266 = intend
|
||||
verbs-dataset-267 = interest
|
||||
verbs-dataset-268 = interfere
|
||||
verbs-dataset-269 = interrupt
|
||||
verbs-dataset-270 = introduce
|
||||
verbs-dataset-271 = invent
|
||||
verbs-dataset-272 = invite
|
||||
verbs-dataset-273 = irritate
|
||||
verbs-dataset-274 = itch
|
||||
verbs-dataset-275 = jail
|
||||
verbs-dataset-276 = jam
|
||||
verbs-dataset-277 = jog
|
||||
verbs-dataset-278 = join
|
||||
verbs-dataset-279 = joke
|
||||
verbs-dataset-280 = judge
|
||||
verbs-dataset-281 = juggle
|
||||
verbs-dataset-282 = jump
|
||||
verbs-dataset-283 = kick
|
||||
verbs-dataset-284 = kill
|
||||
verbs-dataset-285 = kiss
|
||||
verbs-dataset-286 = kneel
|
||||
verbs-dataset-287 = knit
|
||||
verbs-dataset-288 = knock
|
||||
verbs-dataset-289 = knot
|
||||
verbs-dataset-290 = label
|
||||
verbs-dataset-291 = land
|
||||
verbs-dataset-292 = last
|
||||
verbs-dataset-293 = laugh
|
||||
verbs-dataset-294 = launch
|
||||
verbs-dataset-295 = learn
|
||||
verbs-dataset-296 = level
|
||||
verbs-dataset-297 = license
|
||||
verbs-dataset-298 = lick
|
||||
verbs-dataset-299 = lie
|
||||
verbs-dataset-300 = lighten
|
||||
verbs-dataset-301 = like
|
||||
verbs-dataset-302 = list
|
||||
verbs-dataset-303 = listen
|
||||
verbs-dataset-304 = live
|
||||
verbs-dataset-305 = load
|
||||
verbs-dataset-306 = lock
|
||||
verbs-dataset-307 = long
|
||||
verbs-dataset-308 = look
|
||||
verbs-dataset-309 = love
|
||||
verbs-dataset-310 = man
|
||||
verbs-dataset-311 = manage
|
||||
verbs-dataset-312 = march
|
||||
verbs-dataset-313 = mark
|
||||
verbs-dataset-314 = marry
|
||||
verbs-dataset-315 = match
|
||||
verbs-dataset-316 = mate
|
||||
verbs-dataset-317 = matter
|
||||
verbs-dataset-318 = measure
|
||||
verbs-dataset-319 = meddle
|
||||
verbs-dataset-320 = melt
|
||||
verbs-dataset-321 = memorise
|
||||
verbs-dataset-322 = mend
|
||||
verbs-dataset-323 = messup
|
||||
verbs-dataset-324 = milk
|
||||
verbs-dataset-325 = mine
|
||||
verbs-dataset-326 = miss
|
||||
verbs-dataset-327 = mix
|
||||
verbs-dataset-328 = moan
|
||||
verbs-dataset-329 = moor
|
||||
verbs-dataset-330 = mourn
|
||||
verbs-dataset-331 = move
|
||||
verbs-dataset-332 = muddle
|
||||
verbs-dataset-333 = mug
|
||||
verbs-dataset-334 = multiply
|
||||
verbs-dataset-335 = murder
|
||||
verbs-dataset-336 = nail
|
||||
verbs-dataset-337 = name
|
||||
verbs-dataset-338 = need
|
||||
verbs-dataset-339 = nest
|
||||
verbs-dataset-340 = nod
|
||||
verbs-dataset-341 = note
|
||||
verbs-dataset-342 = notice
|
||||
verbs-dataset-343 = number
|
||||
verbs-dataset-344 = obey
|
||||
verbs-dataset-345 = object
|
||||
verbs-dataset-346 = observe
|
||||
verbs-dataset-347 = obtain
|
||||
verbs-dataset-348 = occur
|
||||
verbs-dataset-349 = offend
|
||||
verbs-dataset-350 = offer
|
||||
verbs-dataset-351 = open
|
||||
verbs-dataset-352 = order
|
||||
verbs-dataset-353 = overflow
|
||||
verbs-dataset-354 = owe
|
||||
verbs-dataset-355 = own
|
||||
verbs-dataset-356 = pack
|
||||
verbs-dataset-357 = paddle
|
||||
verbs-dataset-358 = paint
|
||||
verbs-dataset-359 = park
|
||||
verbs-dataset-360 = part
|
||||
verbs-dataset-361 = pass
|
||||
verbs-dataset-362 = paste
|
||||
verbs-dataset-363 = pat
|
||||
verbs-dataset-364 = pause
|
||||
verbs-dataset-365 = peck
|
||||
verbs-dataset-366 = pedal
|
||||
verbs-dataset-367 = peel
|
||||
verbs-dataset-368 = peep
|
||||
verbs-dataset-369 = perform
|
||||
verbs-dataset-370 = permit
|
||||
verbs-dataset-371 = phone
|
||||
verbs-dataset-372 = pick
|
||||
verbs-dataset-373 = pinch
|
||||
verbs-dataset-374 = pine
|
||||
verbs-dataset-375 = place
|
||||
verbs-dataset-376 = plan
|
||||
verbs-dataset-377 = plant
|
||||
verbs-dataset-378 = play
|
||||
verbs-dataset-379 = please
|
||||
verbs-dataset-380 = plug
|
||||
verbs-dataset-381 = point
|
||||
verbs-dataset-382 = poke
|
||||
verbs-dataset-383 = polish
|
||||
verbs-dataset-384 = pop
|
||||
verbs-dataset-385 = possess
|
||||
verbs-dataset-386 = post
|
||||
verbs-dataset-387 = pour
|
||||
verbs-dataset-388 = practise
|
||||
verbs-dataset-389 = pray
|
||||
verbs-dataset-390 = preach
|
||||
verbs-dataset-391 = precede
|
||||
verbs-dataset-392 = prefer
|
||||
verbs-dataset-393 = prepare
|
||||
verbs-dataset-394 = present
|
||||
verbs-dataset-395 = preserve
|
||||
verbs-dataset-396 = press
|
||||
verbs-dataset-397 = pretend
|
||||
verbs-dataset-398 = prevent
|
||||
verbs-dataset-399 = prick
|
||||
verbs-dataset-400 = print
|
||||
verbs-dataset-401 = produce
|
||||
verbs-dataset-402 = program
|
||||
verbs-dataset-403 = promise
|
||||
verbs-dataset-404 = protect
|
||||
verbs-dataset-405 = provide
|
||||
verbs-dataset-406 = pull
|
||||
verbs-dataset-407 = pump
|
||||
verbs-dataset-408 = punch
|
||||
verbs-dataset-409 = puncture
|
||||
verbs-dataset-410 = punish
|
||||
verbs-dataset-411 = push
|
||||
verbs-dataset-412 = question
|
||||
verbs-dataset-413 = queue
|
||||
verbs-dataset-414 = race
|
||||
verbs-dataset-415 = radiate
|
||||
verbs-dataset-416 = rain
|
||||
verbs-dataset-417 = raise
|
||||
verbs-dataset-418 = reach
|
||||
verbs-dataset-419 = realise
|
||||
verbs-dataset-420 = receive
|
||||
verbs-dataset-421 = recognise
|
||||
verbs-dataset-422 = record
|
||||
verbs-dataset-423 = reduce
|
||||
verbs-dataset-424 = reflect
|
||||
verbs-dataset-425 = refuse
|
||||
verbs-dataset-426 = regret
|
||||
verbs-dataset-427 = reign
|
||||
verbs-dataset-428 = reject
|
||||
verbs-dataset-429 = rejoice
|
||||
verbs-dataset-430 = relax
|
||||
verbs-dataset-431 = release
|
||||
verbs-dataset-432 = rely
|
||||
verbs-dataset-433 = remain
|
||||
verbs-dataset-434 = remember
|
||||
verbs-dataset-435 = remind
|
||||
verbs-dataset-436 = remove
|
||||
verbs-dataset-437 = repair
|
||||
verbs-dataset-438 = repeat
|
||||
verbs-dataset-439 = replace
|
||||
verbs-dataset-440 = reply
|
||||
verbs-dataset-441 = report
|
||||
verbs-dataset-442 = reproduce
|
||||
verbs-dataset-443 = request
|
||||
verbs-dataset-444 = rescue
|
||||
verbs-dataset-445 = retire
|
||||
verbs-dataset-446 = return
|
||||
verbs-dataset-447 = rhyme
|
||||
verbs-dataset-448 = rinse
|
||||
verbs-dataset-449 = risk
|
||||
verbs-dataset-450 = rob
|
||||
verbs-dataset-451 = rock
|
||||
verbs-dataset-452 = roll
|
||||
verbs-dataset-453 = rot
|
||||
verbs-dataset-454 = rub
|
||||
verbs-dataset-455 = ruin
|
||||
verbs-dataset-456 = rule
|
||||
verbs-dataset-457 = rush
|
||||
verbs-dataset-458 = sack
|
||||
verbs-dataset-459 = sail
|
||||
verbs-dataset-460 = satisfy
|
||||
verbs-dataset-461 = save
|
||||
verbs-dataset-462 = saw
|
||||
verbs-dataset-463 = scare
|
||||
verbs-dataset-464 = scatter
|
||||
verbs-dataset-465 = scold
|
||||
verbs-dataset-466 = scorch
|
||||
verbs-dataset-467 = scrape
|
||||
verbs-dataset-468 = scratch
|
||||
verbs-dataset-469 = scream
|
||||
verbs-dataset-470 = screw
|
||||
verbs-dataset-471 = scribble
|
||||
verbs-dataset-472 = scrub
|
||||
verbs-dataset-473 = seal
|
||||
verbs-dataset-474 = search
|
||||
verbs-dataset-475 = separate
|
||||
verbs-dataset-476 = serve
|
||||
verbs-dataset-477 = settle
|
||||
verbs-dataset-478 = shade
|
||||
verbs-dataset-479 = share
|
||||
verbs-dataset-480 = shave
|
||||
verbs-dataset-481 = shelter
|
||||
verbs-dataset-482 = shiver
|
||||
verbs-dataset-483 = shock
|
||||
verbs-dataset-484 = shop
|
||||
verbs-dataset-485 = shriek
|
||||
verbs-dataset-486 = shrug
|
||||
verbs-dataset-487 = sigh
|
||||
verbs-dataset-488 = sign
|
||||
verbs-dataset-489 = signal
|
||||
verbs-dataset-490 = sin
|
||||
verbs-dataset-491 = sip
|
||||
verbs-dataset-492 = ski
|
||||
verbs-dataset-493 = skip
|
||||
verbs-dataset-494 = slap
|
||||
verbs-dataset-495 = slip
|
||||
verbs-dataset-496 = slow
|
||||
verbs-dataset-497 = smash
|
||||
verbs-dataset-498 = smell
|
||||
verbs-dataset-499 = smile
|
||||
verbs-dataset-500 = smoke
|
||||
verbs-dataset-501 = snatch
|
||||
verbs-dataset-502 = sneeze
|
||||
verbs-dataset-503 = sniff
|
||||
verbs-dataset-504 = snore
|
||||
verbs-dataset-505 = snow
|
||||
verbs-dataset-506 = soak
|
||||
verbs-dataset-507 = soothe
|
||||
verbs-dataset-508 = sound
|
||||
verbs-dataset-509 = spare
|
||||
verbs-dataset-510 = spark
|
||||
verbs-dataset-511 = sparkle
|
||||
verbs-dataset-512 = spell
|
||||
verbs-dataset-513 = spill
|
||||
verbs-dataset-514 = spoil
|
||||
verbs-dataset-515 = spot
|
||||
verbs-dataset-516 = spray
|
||||
verbs-dataset-517 = sprout
|
||||
verbs-dataset-518 = squash
|
||||
verbs-dataset-519 = squeak
|
||||
verbs-dataset-520 = squeal
|
||||
verbs-dataset-521 = squeeze
|
||||
verbs-dataset-522 = stain
|
||||
verbs-dataset-523 = stamp
|
||||
verbs-dataset-524 = stare
|
||||
verbs-dataset-525 = start
|
||||
verbs-dataset-526 = stay
|
||||
verbs-dataset-527 = steer
|
||||
verbs-dataset-528 = step
|
||||
verbs-dataset-529 = stir
|
||||
verbs-dataset-530 = stitch
|
||||
verbs-dataset-531 = stop
|
||||
verbs-dataset-532 = store
|
||||
verbs-dataset-533 = strap
|
||||
verbs-dataset-534 = strengthen
|
||||
verbs-dataset-535 = stretch
|
||||
verbs-dataset-536 = stroke
|
||||
verbs-dataset-537 = stuff
|
||||
verbs-dataset-538 = subtract
|
||||
verbs-dataset-539 = succeed
|
||||
verbs-dataset-540 = suck
|
||||
verbs-dataset-541 = suffer
|
||||
verbs-dataset-542 = suggest
|
||||
verbs-dataset-543 = suit
|
||||
verbs-dataset-544 = supply
|
||||
verbs-dataset-545 = support
|
||||
verbs-dataset-546 = suppose
|
||||
verbs-dataset-547 = surprise
|
||||
verbs-dataset-548 = surround
|
||||
verbs-dataset-549 = suspect
|
||||
verbs-dataset-550 = suspend
|
||||
verbs-dataset-551 = switch
|
||||
verbs-dataset-552 = talk
|
||||
verbs-dataset-553 = tame
|
||||
verbs-dataset-554 = tap
|
||||
verbs-dataset-555 = taste
|
||||
verbs-dataset-556 = tease
|
||||
verbs-dataset-557 = telephone
|
||||
verbs-dataset-558 = tempt
|
||||
verbs-dataset-559 = terrify
|
||||
verbs-dataset-560 = test
|
||||
verbs-dataset-561 = thank
|
||||
verbs-dataset-562 = thaw
|
||||
verbs-dataset-563 = tick
|
||||
verbs-dataset-564 = tickle
|
||||
verbs-dataset-565 = tie
|
||||
verbs-dataset-566 = time
|
||||
verbs-dataset-567 = tip
|
||||
verbs-dataset-568 = tire
|
||||
verbs-dataset-569 = touch
|
||||
verbs-dataset-570 = tour
|
||||
verbs-dataset-571 = tow
|
||||
verbs-dataset-572 = trace
|
||||
verbs-dataset-573 = trade
|
||||
verbs-dataset-574 = train
|
||||
verbs-dataset-575 = transport
|
||||
verbs-dataset-576 = trap
|
||||
verbs-dataset-577 = travel
|
||||
verbs-dataset-578 = treat
|
||||
verbs-dataset-579 = tremble
|
||||
verbs-dataset-580 = trick
|
||||
verbs-dataset-581 = trip
|
||||
verbs-dataset-582 = trot
|
||||
verbs-dataset-583 = trouble
|
||||
verbs-dataset-584 = trust
|
||||
verbs-dataset-585 = try
|
||||
verbs-dataset-586 = tug
|
||||
verbs-dataset-587 = tumble
|
||||
verbs-dataset-588 = turn
|
||||
verbs-dataset-589 = twist
|
||||
verbs-dataset-590 = type
|
||||
verbs-dataset-591 = unfasten
|
||||
verbs-dataset-592 = unite
|
||||
verbs-dataset-593 = unlock
|
||||
verbs-dataset-594 = unpack
|
||||
verbs-dataset-595 = untidy
|
||||
verbs-dataset-596 = use
|
||||
verbs-dataset-597 = vanish
|
||||
verbs-dataset-598 = visit
|
||||
verbs-dataset-599 = wail
|
||||
verbs-dataset-600 = wait
|
||||
verbs-dataset-601 = walk
|
||||
verbs-dataset-602 = wander
|
||||
verbs-dataset-603 = want
|
||||
verbs-dataset-604 = warm
|
||||
verbs-dataset-605 = warn
|
||||
verbs-dataset-606 = wash
|
||||
verbs-dataset-607 = waste
|
||||
verbs-dataset-608 = watch
|
||||
verbs-dataset-609 = water
|
||||
verbs-dataset-610 = wave
|
||||
verbs-dataset-611 = weigh
|
||||
verbs-dataset-612 = welcome
|
||||
verbs-dataset-613 = whine
|
||||
verbs-dataset-614 = whip
|
||||
verbs-dataset-615 = whirl
|
||||
verbs-dataset-616 = whistle
|
||||
verbs-dataset-617 = wink
|
||||
verbs-dataset-618 = wipe
|
||||
verbs-dataset-619 = wish
|
||||
verbs-dataset-620 = wobble
|
||||
verbs-dataset-621 = wonder
|
||||
verbs-dataset-622 = work
|
||||
verbs-dataset-623 = worry
|
||||
verbs-dataset-624 = wrap
|
||||
verbs-dataset-625 = wreck
|
||||
verbs-dataset-626 = wrestle
|
||||
verbs-dataset-627 = wriggle
|
||||
verbs-dataset-628 = yawn
|
||||
verbs-dataset-629 = yell
|
||||
verbs-dataset-630 = zip
|
||||
verbs-dataset-631 = zoom
|
||||
|
|
@ -1,399 +1,5 @@
|
|||
- type: dataset
|
||||
id: adjectives
|
||||
- type: localizedDataset
|
||||
id: Adjectives
|
||||
values:
|
||||
- adorable
|
||||
- adventurous
|
||||
- aggressive
|
||||
- alert
|
||||
- attractive
|
||||
- average
|
||||
- beautiful
|
||||
- blue-eyed
|
||||
- bloody
|
||||
- blushing
|
||||
- bright
|
||||
- clean
|
||||
- clear
|
||||
- cloudy
|
||||
- colorful
|
||||
- crowded
|
||||
- cute
|
||||
- dark
|
||||
- drab
|
||||
- distinct
|
||||
- dull
|
||||
- elegant
|
||||
- excited
|
||||
- fancy
|
||||
- filthy
|
||||
- glamorous
|
||||
- gleaming
|
||||
- gorgeous
|
||||
- graceful
|
||||
- grotesque
|
||||
- handsome
|
||||
- homely
|
||||
- light
|
||||
- long
|
||||
- magnificent
|
||||
- misty
|
||||
- motionless
|
||||
- muddy
|
||||
- old-fashioned
|
||||
- plain
|
||||
- poised
|
||||
- precious
|
||||
- quaint
|
||||
- shiny
|
||||
- smoggy
|
||||
- sparkling
|
||||
- spotless
|
||||
- stormy
|
||||
- strange
|
||||
- ugly
|
||||
- ugliest
|
||||
- unsightly
|
||||
- unusual
|
||||
- wide-eyed
|
||||
- alive
|
||||
- annoying
|
||||
- bad
|
||||
- better
|
||||
- beautiful
|
||||
- brainy
|
||||
- breakable
|
||||
- busy
|
||||
- careful
|
||||
- cautious
|
||||
- clever
|
||||
- clumsy
|
||||
- concerned
|
||||
- crazy
|
||||
- curious
|
||||
- dead
|
||||
- different
|
||||
- difficult
|
||||
- doubtful
|
||||
- easy
|
||||
- expensive
|
||||
- famous
|
||||
- fragile
|
||||
- frail
|
||||
- gifted
|
||||
- helpful
|
||||
- helpless
|
||||
- horrible
|
||||
- important
|
||||
- impossible
|
||||
- inexpensive
|
||||
- innocent
|
||||
- inquisitive
|
||||
- modern
|
||||
- mushy
|
||||
- odd
|
||||
- open
|
||||
- outstanding
|
||||
- poor
|
||||
- powerful
|
||||
- prickly
|
||||
- puzzled
|
||||
- real
|
||||
- rich
|
||||
- shy
|
||||
- sleepy
|
||||
- stupid
|
||||
- super
|
||||
- talented
|
||||
- tame
|
||||
- tender
|
||||
- tough
|
||||
- uninterested
|
||||
- vast
|
||||
- wandering
|
||||
- wild
|
||||
- wrong
|
||||
- angry
|
||||
- annoyed
|
||||
- anxious
|
||||
- arrogant
|
||||
- ashamed
|
||||
- awful
|
||||
- bad
|
||||
- bewildered
|
||||
- black
|
||||
- blue
|
||||
- bored
|
||||
- clumsy
|
||||
- combative
|
||||
- condemned
|
||||
- confused
|
||||
- crazy,flipped-out
|
||||
- creepy
|
||||
- cruel
|
||||
- dangerous
|
||||
- defeated
|
||||
- defiant
|
||||
- depressed
|
||||
- disgusted
|
||||
- disturbed
|
||||
- dizzy
|
||||
- dull
|
||||
- embarrassed
|
||||
- envious
|
||||
- evil
|
||||
- fierce
|
||||
- foolish
|
||||
- frantic
|
||||
- frightened
|
||||
- grieving
|
||||
- grumpy
|
||||
- helpless
|
||||
- homeless
|
||||
- hungry
|
||||
- hurt
|
||||
- ill
|
||||
- itchy
|
||||
- jealous
|
||||
- jittery
|
||||
- lazy
|
||||
- lonely
|
||||
- mysterious
|
||||
- nasty
|
||||
- naughty
|
||||
- nervous
|
||||
- nutty
|
||||
- obnoxious
|
||||
- outrageous
|
||||
- panicky
|
||||
- repulsive
|
||||
- scary
|
||||
- selfish
|
||||
- sore
|
||||
- tense
|
||||
- terrible
|
||||
- testy
|
||||
- thoughtless
|
||||
- tired
|
||||
- troubled
|
||||
- upset
|
||||
- uptight
|
||||
- weary
|
||||
- wicked
|
||||
- worried
|
||||
- agreeable
|
||||
- amused
|
||||
- brave
|
||||
- calm
|
||||
- charming
|
||||
- cheerful
|
||||
- comfortable
|
||||
- cooperative
|
||||
- courageous
|
||||
- delightful
|
||||
- determined
|
||||
- eager
|
||||
- elated
|
||||
- enchanting
|
||||
- encouraging
|
||||
- energetic
|
||||
- enthusiastic
|
||||
- excited
|
||||
- exuberant
|
||||
- fair
|
||||
- faithful
|
||||
- fantastic
|
||||
- fine
|
||||
- friendly
|
||||
- funny
|
||||
- gentle
|
||||
- glorious
|
||||
- good
|
||||
- happy
|
||||
- healthy
|
||||
- helpful
|
||||
- hilarious
|
||||
- jolly
|
||||
- joyous
|
||||
- kind
|
||||
- lively
|
||||
- lovely
|
||||
- lucky
|
||||
- nice
|
||||
- obedient
|
||||
- perfect
|
||||
- pleasant
|
||||
- proud
|
||||
- relieved
|
||||
- silly
|
||||
- smiling
|
||||
- splendid
|
||||
- successful
|
||||
- thankful
|
||||
- thoughtful
|
||||
- victorious
|
||||
- vivacious
|
||||
- witty
|
||||
- wonderful
|
||||
- zealous
|
||||
- zany
|
||||
- broad
|
||||
- chubby
|
||||
- crooked
|
||||
- curved
|
||||
- deep
|
||||
- flat
|
||||
- high
|
||||
- hollow
|
||||
- low
|
||||
- narrow
|
||||
- round
|
||||
- shallow
|
||||
- skinny
|
||||
- square
|
||||
- steep
|
||||
- straight
|
||||
- wide
|
||||
- big
|
||||
- colossal
|
||||
- fat
|
||||
- gigantic
|
||||
- great
|
||||
- huge
|
||||
- immense
|
||||
- large
|
||||
- little
|
||||
- mammoth
|
||||
- massive
|
||||
- miniature
|
||||
- petite
|
||||
- puny
|
||||
- scrawny
|
||||
- short
|
||||
- small
|
||||
- tall
|
||||
- teeny
|
||||
- teeny-tiny
|
||||
- tiny
|
||||
- cooing
|
||||
- deafening
|
||||
- faint
|
||||
- harsh
|
||||
- high-pitched
|
||||
- hissing
|
||||
- hushed
|
||||
- husky
|
||||
- loud
|
||||
- melodic
|
||||
- moaning
|
||||
- mute
|
||||
- noisy
|
||||
- purring
|
||||
- quiet
|
||||
- raspy
|
||||
- resonant
|
||||
- screeching
|
||||
- shrill
|
||||
- silent
|
||||
- soft
|
||||
- squealing
|
||||
- thundering
|
||||
- voiceless
|
||||
- whispering
|
||||
- ancient
|
||||
- brief
|
||||
- early
|
||||
- fast
|
||||
- late
|
||||
- long
|
||||
- modern
|
||||
- old
|
||||
- old-fashioned
|
||||
- quick
|
||||
- rapid
|
||||
- short
|
||||
- slow
|
||||
- swift
|
||||
- young
|
||||
- bitter
|
||||
- delicious
|
||||
- fresh
|
||||
- juicy
|
||||
- ripe
|
||||
- rotten
|
||||
- salty
|
||||
- sour
|
||||
- spicy
|
||||
- stale
|
||||
- sticky
|
||||
- strong
|
||||
- sweet
|
||||
- tart
|
||||
- tasteless
|
||||
- tasty
|
||||
- thirsty
|
||||
- fluttering
|
||||
- fuzzy
|
||||
- greasy
|
||||
- grubby
|
||||
- hard
|
||||
- hot
|
||||
- icy
|
||||
- loose
|
||||
- melted
|
||||
- nutritious
|
||||
- plastic
|
||||
- prickly
|
||||
- rainy
|
||||
- rough
|
||||
- scattered
|
||||
- shaggy
|
||||
- shaky
|
||||
- sharp
|
||||
- shivering
|
||||
- silky
|
||||
- slimy
|
||||
- slippery
|
||||
- smooth
|
||||
- soft
|
||||
- solid
|
||||
- steady
|
||||
- sticky
|
||||
- tender
|
||||
- tight
|
||||
- uneven
|
||||
- weak
|
||||
- wet
|
||||
- wooden
|
||||
- yummy
|
||||
- boiling
|
||||
- breezy
|
||||
- broken
|
||||
- bumpy
|
||||
- chilly
|
||||
- cold
|
||||
- cool
|
||||
- creepy
|
||||
- crooked
|
||||
- cuddly
|
||||
- curly
|
||||
- damaged
|
||||
- damp
|
||||
- dirty
|
||||
- dry
|
||||
- dusty
|
||||
- filthy
|
||||
- flaky
|
||||
- fluffy
|
||||
- freezing
|
||||
- hot
|
||||
- warm
|
||||
- wet
|
||||
- abundant
|
||||
- empty
|
||||
- few
|
||||
- heavy
|
||||
- light
|
||||
- many
|
||||
- numerous
|
||||
- substantial
|
||||
- capitalist
|
||||
prefix: adjectives-dataset-
|
||||
count: 396
|
||||
|
|
|
|||
|
|
@ -1,12 +1,5 @@
|
|||
- type: dataset
|
||||
- type: localizedDataset
|
||||
id: TraitorCorporations
|
||||
values:
|
||||
- "CyberSun Industries"
|
||||
- "Gorlex Marauders"
|
||||
- "MI13"
|
||||
- "Tiger Cooperative"
|
||||
- "S.E.L.F."
|
||||
- "Animal Rights Consortium"
|
||||
- "Donk Corporation"
|
||||
- "Waffle Corporation"
|
||||
- "Interdyne Pharmaceutics"
|
||||
prefix: traitor-corporations-dataset-
|
||||
count: 9
|
||||
|
|
|
|||
|
|
@ -1,634 +1,5 @@
|
|||
- type: dataset
|
||||
id: verbs
|
||||
- type: localizedDataset
|
||||
id: Verbs
|
||||
values:
|
||||
- accept
|
||||
- add
|
||||
- admire
|
||||
- admit
|
||||
- advise
|
||||
- afford
|
||||
- agree
|
||||
- alert
|
||||
- allow
|
||||
- amuse
|
||||
- analyse
|
||||
- announce
|
||||
- annoy
|
||||
- answer
|
||||
- apologise
|
||||
- appear
|
||||
- applaud
|
||||
- appreciate
|
||||
- approve
|
||||
- argue
|
||||
- arrange
|
||||
- arrest
|
||||
- arrive
|
||||
- ask
|
||||
- attach
|
||||
- attack
|
||||
- attempt
|
||||
- attend
|
||||
- attract
|
||||
- avoid
|
||||
- back
|
||||
- bake
|
||||
- balance
|
||||
- ban
|
||||
- bang
|
||||
- bare
|
||||
- bat
|
||||
- bathe
|
||||
- battle
|
||||
- beam
|
||||
- beg
|
||||
- behave
|
||||
- belong
|
||||
- bleach
|
||||
- bless
|
||||
- blind
|
||||
- blink
|
||||
- blot
|
||||
- blush
|
||||
- boast
|
||||
- boil
|
||||
- bolt
|
||||
- bomb
|
||||
- book
|
||||
- bore
|
||||
- borrow
|
||||
- bounce
|
||||
- bow
|
||||
- box
|
||||
- brake
|
||||
- brake
|
||||
- branch
|
||||
- breathe
|
||||
- bruise
|
||||
- brush
|
||||
- bubble
|
||||
- bump
|
||||
- burn
|
||||
- bury
|
||||
- buzz
|
||||
- calculate
|
||||
- call
|
||||
- camp
|
||||
- care
|
||||
- carry
|
||||
- carve
|
||||
- cause
|
||||
- challenge
|
||||
- change
|
||||
- charge
|
||||
- chase
|
||||
- cheat
|
||||
- check
|
||||
- cheer
|
||||
- chew
|
||||
- choke
|
||||
- chop
|
||||
- claim
|
||||
- clap
|
||||
- clean
|
||||
- clear
|
||||
- clip
|
||||
- close
|
||||
- coach
|
||||
- coil
|
||||
- collect
|
||||
- colour
|
||||
- comb
|
||||
- command
|
||||
- communicate
|
||||
- compare
|
||||
- compete
|
||||
- complain
|
||||
- complete
|
||||
- concentrate
|
||||
- concern
|
||||
- confess
|
||||
- confuse
|
||||
- connect
|
||||
- consider
|
||||
- consist
|
||||
- contain
|
||||
- continue
|
||||
- copy
|
||||
- correct
|
||||
- cough
|
||||
- count
|
||||
- cover
|
||||
- crack
|
||||
- crash
|
||||
- crawl
|
||||
- cross
|
||||
- crush
|
||||
- cry
|
||||
- cure
|
||||
- curl
|
||||
- curve
|
||||
- cycle
|
||||
- dam
|
||||
- damage
|
||||
- dance
|
||||
- dare
|
||||
- decay
|
||||
- deceive
|
||||
- decide
|
||||
- decorate
|
||||
- delay
|
||||
- delight
|
||||
- deliver
|
||||
- depend
|
||||
- describe
|
||||
- desert
|
||||
- deserve
|
||||
- destroy
|
||||
- detect
|
||||
- develop
|
||||
- disagree
|
||||
- disappear
|
||||
- disapprove
|
||||
- disarm
|
||||
- discover
|
||||
- dislike
|
||||
- divide
|
||||
- double
|
||||
- doubt
|
||||
- drag
|
||||
- drain
|
||||
- dream
|
||||
- dress
|
||||
- drip
|
||||
- drop
|
||||
- drown
|
||||
- drum
|
||||
- dry
|
||||
- dust
|
||||
- earn
|
||||
- educate
|
||||
- embarrass
|
||||
- employ
|
||||
- empty
|
||||
- encourage
|
||||
- end
|
||||
- enjoy
|
||||
- enter
|
||||
- entertain
|
||||
- escape
|
||||
- examine
|
||||
- excite
|
||||
- excuse
|
||||
- exercise
|
||||
- exist
|
||||
- expand
|
||||
- expect
|
||||
- explain
|
||||
- explode
|
||||
- extend
|
||||
- face
|
||||
- fade
|
||||
- fail
|
||||
- fancy
|
||||
- fasten
|
||||
- fax
|
||||
- fear
|
||||
- fence
|
||||
- fetch
|
||||
- file
|
||||
- fill
|
||||
- film
|
||||
- fire
|
||||
- fit
|
||||
- fix
|
||||
- flap
|
||||
- flash
|
||||
- float
|
||||
- flood
|
||||
- flow
|
||||
- flower
|
||||
- fold
|
||||
- follow
|
||||
- fool
|
||||
- force
|
||||
- form
|
||||
- found
|
||||
- frame
|
||||
- frighten
|
||||
- fry
|
||||
- gather
|
||||
- gaze
|
||||
- glow
|
||||
- glue
|
||||
- grab
|
||||
- grate
|
||||
- grease
|
||||
- greet
|
||||
- grin
|
||||
- grip
|
||||
- groan
|
||||
- guarantee
|
||||
- guard
|
||||
- guess
|
||||
- guide
|
||||
- hammer
|
||||
- hand
|
||||
- handle
|
||||
- hang
|
||||
- happen
|
||||
- harass
|
||||
- harm
|
||||
- hate
|
||||
- haunt
|
||||
- head
|
||||
- heal
|
||||
- heap
|
||||
- heat
|
||||
- help
|
||||
- hook
|
||||
- hop
|
||||
- hope
|
||||
- hover
|
||||
- hug
|
||||
- hum
|
||||
- hunt
|
||||
- hurry
|
||||
- identify
|
||||
- ignore
|
||||
- imagine
|
||||
- impress
|
||||
- improve
|
||||
- include
|
||||
- increase
|
||||
- influence
|
||||
- inform
|
||||
- inject
|
||||
- injure
|
||||
- instruct
|
||||
- intend
|
||||
- interest
|
||||
- interfere
|
||||
- interrupt
|
||||
- introduce
|
||||
- invent
|
||||
- invite
|
||||
- irritate
|
||||
- itch
|
||||
- jail
|
||||
- jam
|
||||
- jog
|
||||
- join
|
||||
- joke
|
||||
- judge
|
||||
- juggle
|
||||
- jump
|
||||
- kick
|
||||
- kill
|
||||
- kiss
|
||||
- kneel
|
||||
- knit
|
||||
- knock
|
||||
- knot
|
||||
- label
|
||||
- land
|
||||
- last
|
||||
- laugh
|
||||
- launch
|
||||
- learn
|
||||
- level
|
||||
- license
|
||||
- lick
|
||||
- lie
|
||||
- lighten
|
||||
- like
|
||||
- list
|
||||
- listen
|
||||
- live
|
||||
- load
|
||||
- lock
|
||||
- long
|
||||
- look
|
||||
- love
|
||||
- man
|
||||
- manage
|
||||
- march
|
||||
- mark
|
||||
- marry
|
||||
- match
|
||||
- mate
|
||||
- matter
|
||||
- measure
|
||||
- meddle
|
||||
- melt
|
||||
- memorise
|
||||
- mend
|
||||
- messup
|
||||
- milk
|
||||
- mine
|
||||
- miss
|
||||
- mix
|
||||
- moan
|
||||
- moor
|
||||
- mourn
|
||||
- move
|
||||
- muddle
|
||||
- mug
|
||||
- multiply
|
||||
- murder
|
||||
- nail
|
||||
- name
|
||||
- need
|
||||
- nest
|
||||
- nod
|
||||
- note
|
||||
- notice
|
||||
- number
|
||||
- obey
|
||||
- object
|
||||
- observe
|
||||
- obtain
|
||||
- occur
|
||||
- offend
|
||||
- offer
|
||||
- open
|
||||
- order
|
||||
- overflow
|
||||
- owe
|
||||
- own
|
||||
- pack
|
||||
- paddle
|
||||
- paint
|
||||
- park
|
||||
- part
|
||||
- pass
|
||||
- paste
|
||||
- pat
|
||||
- pause
|
||||
- peck
|
||||
- pedal
|
||||
- peel
|
||||
- peep
|
||||
- perform
|
||||
- permit
|
||||
- phone
|
||||
- pick
|
||||
- pinch
|
||||
- pine
|
||||
- place
|
||||
- plan
|
||||
- plant
|
||||
- play
|
||||
- please
|
||||
- plug
|
||||
- point
|
||||
- poke
|
||||
- polish
|
||||
- pop
|
||||
- possess
|
||||
- post
|
||||
- pour
|
||||
- practise
|
||||
- pray
|
||||
- preach
|
||||
- precede
|
||||
- prefer
|
||||
- prepare
|
||||
- present
|
||||
- preserve
|
||||
- press
|
||||
- pretend
|
||||
- prevent
|
||||
- prick
|
||||
- print
|
||||
- produce
|
||||
- program
|
||||
- promise
|
||||
- protect
|
||||
- provide
|
||||
- pull
|
||||
- pump
|
||||
- punch
|
||||
- puncture
|
||||
- punish
|
||||
- push
|
||||
- question
|
||||
- queue
|
||||
- race
|
||||
- radiate
|
||||
- rain
|
||||
- raise
|
||||
- reach
|
||||
- realise
|
||||
- receive
|
||||
- recognise
|
||||
- record
|
||||
- reduce
|
||||
- reflect
|
||||
- refuse
|
||||
- regret
|
||||
- reign
|
||||
- reject
|
||||
- rejoice
|
||||
- relax
|
||||
- release
|
||||
- rely
|
||||
- remain
|
||||
- remember
|
||||
- remind
|
||||
- remove
|
||||
- repair
|
||||
- repeat
|
||||
- replace
|
||||
- reply
|
||||
- report
|
||||
- reproduce
|
||||
- request
|
||||
- rescue
|
||||
- retire
|
||||
- return
|
||||
- rhyme
|
||||
- rinse
|
||||
- risk
|
||||
- rob
|
||||
- rock
|
||||
- roll
|
||||
- rot
|
||||
- rub
|
||||
- ruin
|
||||
- rule
|
||||
- rush
|
||||
- sack
|
||||
- sail
|
||||
- satisfy
|
||||
- save
|
||||
- saw
|
||||
- scare
|
||||
- scatter
|
||||
- scold
|
||||
- scorch
|
||||
- scrape
|
||||
- scratch
|
||||
- scream
|
||||
- screw
|
||||
- scribble
|
||||
- scrub
|
||||
- seal
|
||||
- search
|
||||
- separate
|
||||
- serve
|
||||
- settle
|
||||
- shade
|
||||
- share
|
||||
- shave
|
||||
- shelter
|
||||
- shiver
|
||||
- shock
|
||||
- shop
|
||||
- shriek
|
||||
- shrug
|
||||
- sigh
|
||||
- sign
|
||||
- signal
|
||||
- sin
|
||||
- sip
|
||||
- ski
|
||||
- skip
|
||||
- slap
|
||||
- slip
|
||||
- slow
|
||||
- smash
|
||||
- smell
|
||||
- smile
|
||||
- smoke
|
||||
- snatch
|
||||
- sneeze
|
||||
- sniff
|
||||
- snore
|
||||
- snow
|
||||
- soak
|
||||
- soothe
|
||||
- sound
|
||||
- spare
|
||||
- spark
|
||||
- sparkle
|
||||
- spell
|
||||
- spill
|
||||
- spoil
|
||||
- spot
|
||||
- spray
|
||||
- sprout
|
||||
- squash
|
||||
- squeak
|
||||
- squeal
|
||||
- squeeze
|
||||
- stain
|
||||
- stamp
|
||||
- stare
|
||||
- start
|
||||
- stay
|
||||
- steer
|
||||
- step
|
||||
- stir
|
||||
- stitch
|
||||
- stop
|
||||
- store
|
||||
- strap
|
||||
- strengthen
|
||||
- stretch
|
||||
- stroke
|
||||
- stuff
|
||||
- subtract
|
||||
- succeed
|
||||
- suck
|
||||
- suffer
|
||||
- suggest
|
||||
- suit
|
||||
- supply
|
||||
- support
|
||||
- suppose
|
||||
- surprise
|
||||
- surround
|
||||
- suspect
|
||||
- suspend
|
||||
- switch
|
||||
- talk
|
||||
- tame
|
||||
- tap
|
||||
- taste
|
||||
- tease
|
||||
- telephone
|
||||
- tempt
|
||||
- terrify
|
||||
- test
|
||||
- thank
|
||||
- thaw
|
||||
- tick
|
||||
- tickle
|
||||
- tie
|
||||
- time
|
||||
- tip
|
||||
- tire
|
||||
- touch
|
||||
- tour
|
||||
- tow
|
||||
- trace
|
||||
- trade
|
||||
- train
|
||||
- transport
|
||||
- trap
|
||||
- travel
|
||||
- treat
|
||||
- tremble
|
||||
- trick
|
||||
- trip
|
||||
- trot
|
||||
- trouble
|
||||
- trust
|
||||
- try
|
||||
- tug
|
||||
- tumble
|
||||
- turn
|
||||
- twist
|
||||
- type
|
||||
- unfasten
|
||||
- unite
|
||||
- unlock
|
||||
- unpack
|
||||
- untidy
|
||||
- use
|
||||
- vanish
|
||||
- visit
|
||||
- wail
|
||||
- wait
|
||||
- walk
|
||||
- wander
|
||||
- want
|
||||
- warm
|
||||
- warn
|
||||
- wash
|
||||
- waste
|
||||
- watch
|
||||
- water
|
||||
- wave
|
||||
- weigh
|
||||
- welcome
|
||||
- whine
|
||||
- whip
|
||||
- whirl
|
||||
- whistle
|
||||
- wink
|
||||
- wipe
|
||||
- wish
|
||||
- wobble
|
||||
- wonder
|
||||
- work
|
||||
- worry
|
||||
- wrap
|
||||
- wreck
|
||||
- wrestle
|
||||
- wriggle
|
||||
- yawn
|
||||
- yell
|
||||
- zip
|
||||
- zoom
|
||||
prefix: verbs-dataset-
|
||||
count: 631
|
||||
|
|
|
|||
Loading…
Reference in New Issue