# data[].attributes.body
-Festive
-Cheerful
-Calm
-Jolly
-Fear
-Surprised
-Thirsty
-Bored

# data[].attributes.body
-Loud
-Clear
-Muted
-Audible
-Rythmic
-Noisy
-Melodic
-Sweet

# data[].attributes.body
-Sweet
-Upbeat
-Brave
-Kind
-Intelligent
-Outgoing
-Energetic
-Happy

# data[].attributes.body
-Beautiful
-Chubby
-Tall
-Pale
-slim
-Thin
-Hadnsome
-Ugly

# data[].attributes.body
-Jolly
-Holiday
-Carnival
-Gleeful
-Merry

# data[].attributes.body
-roaring
-noisy
-thunderous
-blasting
-booming

# data[].attributes.body
-Kind
-Cordial
-Gentle
-Sociable
-Nice

# data[].attributes.body
-Nice
-Cute
-Precious
-Radiant
-Handsome

# data[].attributes.body
-Despressing
-Sad
-Drab
-Funereal
-Mournful

# data[].attributes.body
-gentle
-slow
-soft
-quiet
-unflashy

# data[].attributes.body
-Cruel
-Rebellious
-Violent
-Nasty
-Harsh

# data[].attributes.body
-Ugly
-Grotesque
-Hideous
-Uncute
-Unbeautiful

# data[].attributes.body
-Animated
-Bright
-Glad
-Happy
-Joyful

# data[].attributes.body
-logical
-explicit
-glassy
-understandable
-simple

# data[].attributes.body
-Encourgament
-Tranquility
-Enthusiasm
-Plesure
-Joy

# data[].attributes.body
-Plump
-Tubby
-Roly-poly
-Rotund
-Portly

# data[].attributes.body
-Depressed
-Depressing
-Miserable
-Unhappy
-Melancholy

# data[].attributes.body
-unclear
-turbid
-unclarified
-undecipherable
-insensible

# data[].attributes.body
-Disappointment
-Melancholy
-Sadness
-Heartbreak
-Anger

# data[].attributes.body
-Skinny
-Slender
-Lean
-Slim
-Spare

# data[].attributes.body
-Pacific
-Placid
-Relaxed
-Serene
-Peaceful

# data[].attributes.body
-silent
-speechless
-unspeaking
-quiet
-voiceless

# data[].attributes.body
-Brave
-Determined
-Fierce
-Darling
-Wild

# data[].attributes.body
-Big
-High
-Large
-Huge
-Giant

# data[].attributes.body
-Excited
-Fierce
-Rough
-Wild
-Perturbed

# data[].attributes.body
-communicative
-fluent
-vocal
-eloquent
-voluble

# data[].attributes.body
-Cowardly
-Shy
-Docile
-Bad
-Meek

# data[].attributes.body
-Short
-Small
-Low
-Mindless
-Cheap

# data[].attributes.body
-Cheerful
-Genial
-Gladsome
-Hilarious
-Funny

# data[].attributes.body
-discernible
-resounding
-distinct
-perceptible
-loud enought

# data[].attributes.body
-Nice
-Happy
-Affectionate
-Cordial
-Friendly

# data[].attributes.body
-Dull
-Dulled
-Faded
-Light
-Washy

# data[].attributes.body
-Miserable
-Serious
-Solemn
-Doleful
-Gaunt

# data[].attributes.body
-inaudible
-indistinct
-unclear
-unnoticeable
-vague

# data[].attributes.body
-Rude
-Unfriendly
-Unpleasant
-Disrespectful
-Violent

# data[].attributes.body
-blooming
-florid,
-flush
-full-blooded
-glowing

# data[].attributes.body
-Terror
-Horror
-Panic
-Alarm
-Agitation

# data[].attributes.body
-metrical
-beating
-repeated
-pattern
-tempo

# data[].attributes.body
-Clever
-Capable
-Resourceful
-Creative
-Prepared

# data[].attributes.body
-fine
-hairline
-narrow
-needlelike
-skinny

# data[].attributes.body
-Calmness
-Confidence
-Faith
-Confort
-Trust

# data[].attributes.body
-nonmetrical
-arrythmic
-irregular
-unmeasured
-smooth

# data[].attributes.body
-Dumb
-Ignorant
-Clusmy
-Insufficient
-Unprepared

# data[].attributes.body
-Broad
-Fat
-Wide
-Plump
-Big

# data[].attributes.body
-Amaze
-Stun
-Startle
-Stangger
-Shock

# data[].attributes.body
-discordant
-talkative
-screaming
-rowdy
-vocifeorus

# data[].attributes.body
-Nice
-Sociable
-Fun
-Friendly
-Communicative

# data[].attributes.body
-Fatless
-Lean
-Lithe
-Skinny
-Slender

# data[].attributes.body
-Awere
-Calm
-Poised
-Unsurprised
-Predictable

# data[].attributes.body
-calm
-silent
-quiet
-noiseless
-moderate

# data[].attributes.body
-Introverted
-Embarrasing
-Antisocial
-Shy
-Quiet

# data[].attributes.body
-Chubby
-Corpulent
-Fat
-Gross
-Obese

# data[].attributes.body
-Dry
-Dehydrated
-Eager
-Hungry
-Avid

# data[].attributes.body
-canorous
-euphonic
-musical
-soulful
-rythmic

# data[].attributes.body
-Strengtheing
-Fast
-Active
-Effective
-Strong

# data[].attributes.body
-Classy
-Courtly
-Elegant
-Fine
-Graceful

# data[].attributes.body
-Wet
-Satisfied
-Moist
-Unconcerned
-Quenched

# data[].attributes.body
-discordant
-harsh
-jarring
-dissonant
-unlyrical

# data[].attributes.body
-Disabling
-Slow
-Incapable
-Inefficient
-Lazy

# data[].attributes.body
-Dowdy
-Graceless
-Inelegant
-Styleless
-Tasteless

# data[].attributes.body
-Dull
-Lifeless
-Tiring
-Tedious
-Humdrum

# data[].attributes.body
-acceptable
-satisfying
-pleasant
-gratifying
-agreedable

# data[].attributes.body
-Happy
-Amused
-Smiling
-Optimistic
-Funny

# data[].attributes.body
-Unbeautiful
-Uncomely
-Unhandsome
-Unlovely
-Unpleasing

# data[].attributes.body
-Bright
-New
-Smart
-Unusual
-Current

# data[].attributes.body
-unpleasant
-discordant
-unfriendly
-disagreedable
-uncool

# data[].attributes.body
-Sad
-Ashamed
-Quiet
-Antisocial
-Serious

# data[].attributes.body
-Attractive
-Beauteous
-Beautiful
-Bonny

-Cute

# data[].attributes.body
-Yesterday Luisa was very festive
-Samanta was very cheerful yestarday because she got her drivers license.
-It rained, but then it calmed.
-Sara was very jolly to see her mom.
-The fear was that he was in London for your visit.
-I'm not surprised with thah baby crying all the time.
-Omar was more thirsty than usual.
-Monique is bored with her life and she wants to change.
- I wanted to jolly her up a  bit.
- The last christmas was the best holiday ever.
- This was a gleeful year.
- For many peaple this was a merry experience.
- Axel ised a treatment of depression.
- Belinda was very sad about the death of her grandmother.
- I grabed an apple  from the kitchen.
- Yestarday was my mom´s funeral.
- A cheerleader animated my party.
- The moon was very brigth last night.
- Lisa was so glad to see me.
- We were very happy when we went to Disney world.
- She joyfully accepted my proposal.
- I was depressed after my dad died.
- There were men without freedom and their condition was miserable.
- My brother ate tacos, he was unhappy with it.
- Joel is very pacific, but yestarday he wasn´t.
- Yestarday I saw a movie very relaxed.
- I was very excited when I met Justin Bieber.
-He rushed tower the voice and shouted a fierce.
- It´s because Gloria said my hands were to rough.
- The party yestarday was wild.

# data[].attributes.body
-He played a discernible sound for me
-The music was resounding in my house
-Her voice sounded distinct than the others
-We sang so perceptible
-The volume was loud enough yesterday
-He was playing in a nonmetrical way
-Lilah was teaching a choreo on a arrythmic way
-She was changing an irregular note
-They were making a unmeasured song
-The sound of the wind flying over the woods is so smooth
-She worked hard to make that song canorous
-He had a euphonic dog
-I saw a musical ghost last saturday
-They had soulful voices
-You were the rythmic teacher
-She worked hard to make that song canorous
-She had an unpleasant door
-He hadn't start his discordant choreo
-They had finished and started to talk on a unfriendly way
-She had disagreedable finished the song
-You talked to me in a uncool way
-The classroom was so silent.
-When he told me that, I went speechless.
-I'm unspeaking with the movie I just saw.
-The cinema was so quiet.
-The concert I went yesterday left me voiceless.
-I liked your friends, when he talked seemed to be so communicative
-Some years ago, my French was so fluent.
-Yesterday I sang my vocals were on point.
-Shakeaspeare's stories were so eloquent.
-Thank God yesterday in my oral presentation I became so voluble.

# data[].attributes.body
- she seemed very sweet to me in how she spoke.
-The presentation that Luis gave yesterday was very upbeat.
-Luis acted very kind to help me with my stalker.
-Andrea was very nice to my mom.
-Ulises is very intelligent, he aswered all the exercises well.
-Laura is very outgoing, she saw me and ran towards me.
-Diana is a very energetic person, she finished her laps very quickly.
-I saw you very happy with your 10!.
-You were very kind to the teacher.
-The teacher acted very cordial yesterday.
-My mom saw you yesterday and said you're kind.
-Tere lived with everyone because she was very sociable.
-The task was very nice and easy.
-The dog was very cruel when he chased my yesterday.
-Jimena was very rebellious by not going after her mother's errand.
-My dad was very violent or when he hit me a while ago.
-How unpleasant you acted your acttitude yesterday, Juan.
-Luis acted with a very hard heart!.
-Yesterday Frida encouraged me when i failed.
-She looked very calm despite having failed.
-She did everything with enthusiasm.
-She was very pleased to have passed math.
-Ashly slept happily yesterday.
-My mom was disappointed because i didn't win the cup.
-I was sad to have seen my aunt cry.
-It was very sad to see my parakeet die last saturday.
-She is a sweetheart when she is happy.
-I was very angry when i lost.
-We got bravo when his sister beat him in hide and seek.
-Slept determined to wake up at 6 in the morning.

# data[].attributes.body
-He bought a beautiful car
-I was chubby
-He was very tall
-She was pale
-They were slim
-His legs were thin
-He was pretty handsome
-Her clothes were ugly
-Yesterday i saw a nice baby
-I saw a cute girl
-I bought a precious pants
-She was radiant yesterday
-Today she saw a handsome boy
-My hair was so ugly today
-He was grotesque with her
-I saw a hideous movie yesterday
-His shirt was uncute
-today she looked unbeautiful
-Her baby was plump
-His feet was tubby
-The dog was roly-poly
-i was very rotund when i was a kid
-The cat was portly
-Yesterday i rescued a skinny dog
-My mom was slender
-I was a lean girl
-They were a slim guys
-She was a spare girl
-I had a big butt

# data[].attributes.body
- I was trying to not get perturbed-
- I met my new employe travelling to spain, and we were very cheerful.
- She was being so gladsome with her exposition.
- The party was being hilarious last night.
- He wasn´t sad, he was being very funny.
- We weren´t talking, we were very serious.
- I was walking to the park when I found a cat, it was genial.
- I was looking for a funny movie but I found a horror one.
- I was talking to her when she had a panic attack.
- We were watching a comic movie yestarday, it was amaze.
- She was litsening music, when she got stunned.
- We were in shock when we realized that my mom chetead on my dad.
- He was cooking very calm.
- My mom couldn´t belive that my that chetead on her, but that was predictable.
- We thought it was ranning, but it was dry.
- We were watching a horror movie.
- We were sleeping very calmness.
- Elena was doing her dance very confident.
- We were having a lot of faith on god.
- Elena was sleeping in a really confort bed
- Maria is trusting so much in his boyfriend, she is in love.
- It was ranning yestarday, we got wet
- She was running when she passed out, she was dehydrated.
-We were eating really fast, we were hungry.
- We were very eager when we were wating for our civid test.
- We were eating, now we are satisfied.
- I was drying mi clothes, but they were still moist.
- I was trying to do my homework mut i wa very desconcentrated.
- She was looking for her dog, she was very alarmed.

# data[].attributes.body
-Their screams were inaudible
-His steps were indistinct
-Laura said something unclear
-The violin was unnoticeable
-Her silent note was vague
-She hadn't maked any discordant sound
-He used to had a talkative voice
-You hadn't loved how she was screaming
-We had screamed out so rowdy
-They had sounded so vociferous
-You called her a discordant person
-She began to make her steps harsh
-We watched a movie were the protagonist wer so jarring
-I played a dissonant melody
-They sang unlyrical
-I was wishing for the exam to be logical instead of difficult.
-My mom was wondering in the cinema if the movie would have explicit language.
-Everybody was expecting the trip to be so exhausting, but it was pretty glassy.
-I was watching my text written in Korean, and it was kind of understandable.
-My brother was complaining of his exam, but it was so simple.
-The final episode was so unclear, I was freaking out when I saw it.
-I was getting annoyed when I saw the water o f the river, it was so turbid.
-My dad was trying so hard to understand my mom, but what my mom was saying was so unclarified.
-All in my family were going crazy with that guessing, it was so difficult.
-I hate him, I was crying because my dog died and he told me to stop, that it was not a a situation to cry. He is so insensible.

# data[].attributes.body
-She was acting very fierce.
-She considering being the darling.
-She was playing for her wild dog.
-We were being cowards.
-Was she acting shy?
-I was not thinking about your docile attitude.
-I was looking for the bad guy.
-I was trying to make my dog tame.
-I was being nice to my sister.
-Behave kind like when we were with mom.
-Was she being affectionate towards my boyfriend?.
-We had give a cordial greeting.
-Hey, your mom was acting too friendly, i liked her.
-No, you were acting rude!.
-We didn't think we were acting unfriendly.
-We werw still being nasty.
-We werw walking and you acted disrespectful.
-He was doing homework and he got violent!.
-You were studying, that's why you came out very smart.
-He was becoming the most capable of the class.
-It was working? made it very clever.
-I was cooking and was very creative.
-I was teaching what i had to prepare myself.
-You were getting very dumb.
-Was already becoming ignorant.
-You werw singing and stumbled, jajaja how clumsy.
-No one was saying you were insufficient!.
-They weren't helping to prepare it.
-You were helping very kindly.

-She considering being the dearest.

# data[].attributes.body
-I was high on a hill when the sun came down
-they were very large in figure
-They was a huge ball at the park
-Where was the giant dog again
-I wish they weren't short tempers
- There was many small ants at the park
-The last car was not low on milage
-The crowd was very mindless around the artist
-The gas was cheap at the begining of the pandemic
-At the party was dull so we left
-The pencil was dulled down too much that it did not have led
- He was not faded by the accident that they had witnessed
-The light was going through the tinted glass
-There was a washy appereance in the clothes
She was bloomimg in the morning
-Her face was florid as she saw her surprise gift
-The panel was not flush with the wall
-The dogs lineage was full blooded until the owner wanted a different trait
-The brakes were glowing red with hear after a day at the track
-He was fine after he took a hit
-His hairline wasa thing of the past
-He was traveling through a narrow road
-It was a very needle like pain
-In the past i once was a skinny person
-The event hall was not broad enough for the invited guest
- He was not fat before moving into the new house
-The door was not wide enough for the bed frame
-The peaches were plump this haruest
-The animals were not as a big as they expected

# data[].attributes.body
- I had felt very cheerful thease days.
- Lucia had been very jolly today.
- They had been fearing.
- Juan had been very surprised by the behavior of his girlfriend.
-Sara had run a lot today, and she is very thirsty.
- They had been bored today.
- I had been very tired because of my job.
- I've never done that, is very tedious.
- We had never seen a new coin from México.
- She had to act smart to impress her crush.
- They had been talking for hours, thats unusual.
- My dad had been feeling great currently.
- I had been drinking a lot of water these days.
- I knew that she was sick, because she had been very sad.
- He hadn´t studied for the exam, so he was very nervous.
- I had eaten this morning, so i wasn´t hungry.
- They had walked for a couple hours, so they were tired.
- I had felt very happy.
- I had never seen Samantha that serious
- My dad had been very excited because of his new job.
- This holidays had been the best of my life.
- The moon had been looking very bright.
- I´ve been having the worst days of my life.
- My cousin had been acting really depressed.
- We had been acting very happy these days.
- My mom had been having a lot of confidence on her.
-The kids hadn´t done their homework so they are miserable.
- I had been feeling wild
- My mom had been feeling hilarious.

# data[].attributes.body
-The lions had been roaring for hours, maybe he is mad.
-The classroom is so noisy, it had been full all day.
-Few nights ago had been so thunderous, it has been raining all the week
-World wars had been ridiculously dangerous, those are super blasting.
-Technology with the time had been booming considerably, we are so advanced nowadays.
-People had always been gentle with me, maybe because I'm cute.
-You had been slow either your homework, hurry up, we got to go.
-Throughout the years, my teddies bear had always been soft like a cloud.
-Funerals had been so quiet since always, it is a moment just say goodbye for the last time.
-The night was so unflashy, it had been like that because there's no artificial light nearby
-The sound i was listening was metrical
-She was beating so well
-Karla was repeating the steps
-They were following the pattern
-I was not following the tempo
-I had used to be calm
-They hadn't played in silent
-The teacher had liked that the students -are quiet
-Her sister used to had a noiseless computer
-Their order maked the room moderate
-The music he was playing was acceptable
-She was playing some satisfying chords
- I wasn't a pleasant place
-You were gratifying with the teacher voice
-They were listening some agreedable music

# data[].attributes.body
-I had socialized with him.
-It had been fun.
-We had been friendly with your mom.
-He had been very communicative wirh Hugo.
-I got bored, Diego had been very introverted today.
-I had been very embarrasing.
-My friend had acted very antisocial.
-Haven't you been shy?.
-They have been very quiet.
-There was too much force in you movement.
-We were left behind, how fast you are!.
-We were surprised, you acted very active.
-You had acted very effectively.
-She had helped me, i am very disabling.
-He had helped me, i am very strong.
-I had been very slow in training.
-We had behaved very incapable.
-We had acted very inefficient in the task.
-She had acted very lazy.
-My friend had been very friendly, i was surprised.
-Flor had been a lot of fun.
-Caro had acted very smilling.
-We had acted very optimistic, that's why we passed.
-We had seen funny Luis a momment ago.
-I had felt very sad.
-Juan had been embarrassed by what happened.
-Karla had been very quiet.
-Tania had been very antisocial.
-I had never seen Juan so serious.

# data[].attributes.body
-There had not been a fatless person since 1997
-Jeff had been lean since birth
-The dancer had not been lithe in a while
-He would not have escaped if he had not been so skinny
-She had a slender body for a while
-Had he not been chubby he wouls join the team
-That man had been corpulent for the time i have know them
-I had fat arms before i worked out
-I had not been grossed out by blood before
-A obese person had my respects
-That man had a classy look earlier
-He had not been courtly before looking at the queen
-Jay had an elegant suit on
-The woman had looked fine walking down he street
-She had been graceful down the aiste
-They had a dowdy outfit at the wedding
-I had had not seen something so graceless before
-The waitdress had an inelegant uniform
-Hooters had not been styless the change
-They had tasteless sense in jokes
-Our neighbors had the most unbeaufiful dog in the world
-We had just seen the most uncomely face in the world
-They had the most unhandsome facial hair in the west
-He had unlovely parents
-She had an unpleasing look in her eyes
-She had an attractive figure
-He had a beauteous wife
-They had a beautiful house on the hill
-That saddle has a bonny harnest
-She had a cute look