Datasets:

Holmeister

/

AEB_1_EMOLLM

like 0

Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive). Tweet: Santorini is so beautiful 😍 Intensity score:

0.759

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Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). Tweet: Hello everyone! How are you? Sinong excited na for live shows? Hahaha don't worry we are too 😃😬 Intensity score:

0.793

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Task: Calculate the sentiment intensity or valence score of the tweet, which should be a real number between 0 (extremely negative) and 1 (extremely positive). Tweet: Haven't been on a holiday abroad in two years how depressing is that btw☹️ Intensity score:

0.107

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Task: Calculate the sentiment intensity or valence score of the tweet, which should be a real number between 0 (extremely negative) and 1 (extremely positive). Tweet: @amc4100 You mean you didn't like the giggle?!?!? 😂 #sarcasm Intensity score:

0.548

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Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). Tweet: I'm BEYOND entertained 😂 and in this case it's a sad thing to witness 😂😂 watch and loving the dms 😘 #flattered #cantdoitlikeme #poorthing 😋 Intensity score:

0.781

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Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). Tweet: Thank you, @realDonaldTrump, for using the Afghanistan policy of #44... he was pretty smart! \n\nP.S. Do not look directly at the sun! #bad Intensity score:

0.371

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Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive). Tweet: @BethRigby And you'd even worn an attention-grabbing bright green jacket too... Intensity score:

0.328

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Task: Assess the intensity of sentiment or valence in the tweet, representing the tweeter's mental state with a real-valued score between 0 (extremely negative) and 1 (extremely positive). Tweet: I feel bad for people who don't understand my sarcasm. They think I'm mean, but really I'm hysterical & they don't realize it. #sad #funny Intensity score:

0.232

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Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive). Tweet: @Za1d hota hai terrorism ka majhab hota hai and dat is Islam soldiers of allah killing innocent people around the world #RadicalIslam Intensity score:

0.339

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Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive). Tweet: Woke up with a horrible cloggy summer cold #attractive 😉😩 Intensity score:

0.339

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Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive). Tweet: It's a #blessing to love it's a blessing to have someone to love Intensity score:

0.645

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Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive). Tweet: max @whitephobe is lit af he rly put up w my dumb ass for abt two yrs ol boy deserves an award <3 i lov him sm hes a delight & a half Intensity score:

0.710

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Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). Tweet: IT WASN'T ENOUGH 😢 Intensity score:

0.133

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Task: Calculate the sentiment intensity or valence score of the tweet, which should be a real number between 0 (extremely negative) and 1 (extremely positive). Tweet: Good Night everyone... #goodnight #sleep #nice #great #night #music #day Intensity score:

0.850

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Task: Determine the sentiment intensity or valence score of the tweet, representing the tweeter's mental state on a continuum from 0 (highly negative) to 1 (highly positive). Tweet: @WILLLANNO Man u r just bitter about Manu making great strides... Intensity score:

0.411

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Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive). Tweet: They cancelled Chewing Gum. #devastated Intensity score:

0.103

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Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive). Tweet: @christinequinty I just knew. #delightful #Eclipse Intensity score:

0.806

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Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive). Tweet: Reads two sentences about engagement...yeah...that's enough let's see what social media has to offer. #ironic Intensity score:

0.324

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Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). Tweet: Welcome new followers @GibbonWa @Halmarun @CleanFaceSkin We will mostly be talking #happiness & #ethicalfashion Happy to connect :) Intensity score:

0.891

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Task: Determine the sentiment intensity or valence score of the tweet, representing the tweeter's mental state on a continuum from 0 (highly negative) to 1 (highly positive). Tweet: @Deb_Renee Good morning, you're very welcome awesome lady 🤗 😍 Intensity score:

0.781

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Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive). Tweet: @kathryn_dennis keep your head clear an focused. Do not let T intimidate you or use your children to silence you! Hate when a man does that! Intensity score:

0.552

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Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive). Tweet: She'll leave you with a smile Intensity score:

0.758

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Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). Tweet: @Teenique yessss waiting for an epi is for the birds. it sucks. im waiting for walking dead new season😩 Intensity score:

0.296

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Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive). Tweet: They say money can't buy happiness... Retweet this if you'd be happy with 27 Million Dollars. Intensity score:

0.656

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Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive). Tweet: @ClairePotter @Mermaids_March @2minbeachclean Woohoo! Enjoy Claire! Happy Tuesday :D Intensity score:

0.883

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Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive). Tweet: A man without a smiling face must not open a shop. -Chinese Proverb Intensity score:

0.500

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Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive). Tweet: Fed up of smiling at old people and getting dirty looks in return. Go fuck yourself Mildred you miserable prick Intensity score:

0.242

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Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive). Tweet: @Good_Therapy and @CounsellorsCaf are talking about #depression today! What's trending in your community? Intensity score:

0.521

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Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). Tweet: @itsjordansroom Good Morning to you as well Miss Jordan!! Have a cheerful day! Intensity score:

0.741

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Task: Assess the intensity of sentiment or valence in the tweet, representing the tweeter's mental state with a real-valued score between 0 (extremely negative) and 1 (extremely positive). Tweet: Goodevening 😆 Intensity score:

0.679

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Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive). Tweet: Good morning family to all of you who took the time to wish mom a HAPPY BIRTHDAY Thank you from my ❤ love you be blessed Intensity score:

0.906

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Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). Tweet: @Miss_Wisconsin It's amazing what not being told no enough can raise. #horrid Intensity score:

0.258

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Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive). Tweet: When do you feel the hungriest?\nThe night before I start a new #diet .\n#hungry #food #HealthyEating #trying #new #funny Intensity score:

0.564

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Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive). Tweet: @dp_srk_rk It's going 3 only. He has berdych tomorrow. Nothing to worry. Easiest draw Intensity score:

0.468

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Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive). Tweet: @deray Someone needs to speak for the frat boys #sarcasm Intensity score:

0.323

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Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). Tweet: Best evening adult drink w/chocolate #satisfaction is @Nestle DARK hot chocolate + chili powder + cinnamon + whiskey #delicious ☕️ Intensity score:

0.852

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Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). Tweet: I've been awake for 451 days 23 hours and I'm sleepy and tired #weary #raspberrypi #nodered #bot #iot #sunshinecoast Intensity score:

0.267

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Task: Determine the sentiment intensity or valence score of the tweet, representing the tweeter's mental state on a continuum from 0 (highly negative) to 1 (highly positive). Tweet: @CrystalSuicide I see that #sarcasm Intensity score:

0.438

v_reg

Task: Determine the sentiment intensity or valence score of the tweet, representing the tweeter's mental state on a continuum from 0 (highly negative) to 1 (highly positive). Tweet: @ThePURCompany I have tried #PUR Mojito Lime mints They are #delicious 😘Happy #NationalMojitoDay to all #contest #win ✅💚 Intensity score:

0.823

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Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). Tweet: When his ex stops being a jealous psycho.............after yous are split 😂😂 #ironic 🤔 Intensity score:

0.607

v_reg

Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). Tweet: It's tough when people give up on their friends because of politics. #irony is a bitch. #relatable Intensity score:

0.258

v_reg

Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). Tweet: @chuckwoolery I Feel sick reading this, when does it end? #dread #civil war? #sad Intensity score:

0.083

v_reg

Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). Tweet: Wouldn't it be fantastic if it was discovered that DJT Jr. forwarded that email to his father... #irony Intensity score:

0.547

v_reg

Task: Calculate the sentiment intensity or valence score of the tweet, which should be a real number between 0 (extremely negative) and 1 (extremely positive). Tweet: no offense to those who love k culture, u can love it all you want bbs!! 💖 but i just personally want to get to know my own country's- Intensity score:

0.645

v_reg

Task: Calculate the sentiment intensity or valence score of the tweet, which should be a real number between 0 (extremely negative) and 1 (extremely positive). Tweet: Trump, standing on stage next to @EmmanuelMacron (39) defending his idiot son @DonaldJTrumpJr (39), calling him a 'fine young man' #ironic Intensity score:

0.276

v_reg

Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). Tweet: Woke up to what appears to be either a sinus or ear infection. This week is off to a great start so far. Intensity score:

0.397

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Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). Tweet: @gammarus @Steel_Con @Scott_Helme People know your serious now brother! #awesome Intensity score:

0.806

v_reg

Task: Rate the valence intensity of the tweeter's mental state expressed in the tweet, assigning it a score on a scale of 0 (most negative) to 1 (most positive). Tweet: Going to bed with dry and clean hair. #blessing Intensity score:

0.667

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Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive). Tweet: @Taylor_Stanton3 @realChadJohnson 0% butt hurt, friend, just tried to make a joke. Should've put #sarcastic at the end. Intensity score:

0.375

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Task: Determine the sentiment intensity or valence score of the tweet, representing the tweeter's mental state on a continuum from 0 (highly negative) to 1 (highly positive). Tweet: Jellyfish are turtles' food, turtles that you kill by throwing YOUR plastic wastes in the sea. So don't complain when they sting your ass. Intensity score:

0.450

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Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). Tweet: #31DaysOfJoy Laughter brings me so much joy! It's good for the ❤️. #laughter #laughterishealing #laughterisgoodforthesoul Intensity score:

0.935

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Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). Tweet: .@PayPal why do you always make it so incredibly difficult to do anything or get anything resolved? #customerservice #sucks Intensity score:

0.141

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Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive). Tweet: My main concern are the children and his wife thats if she is still stuck with him and if she is, then she's strong af. Jeez 😟 Intensity score:

0.220

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Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). Tweet: The stupidest and weirdest thing people do. And what's more stupid than that? They upload it online. Oh my god. But good for laughter ah. 🤣🤣 Intensity score:

0.629

v_reg

Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive). Tweet: I want a friendship group like in Friends 😧 Intensity score:

0.484

v_reg

Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). Tweet: @whutyearisit Conforto striking out like that, what a loser #sarcasm #metstwitter Intensity score:

0.371

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Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive). Tweet: Choose someone who makes you laugh #😂 Intensity score:

0.667

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Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive). Tweet: I love it when my coworker talks to me about the most recent episode of a show I don't watch.... #sarcasm #idontgiveafuck Intensity score:

0.391

v_reg

Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive). Tweet: It's a good morning today and I'm feeling lively 😊 #goodmorning #happy #lively Intensity score:

0.817

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Task: Calculate the sentiment intensity or valence score of the tweet, which should be a real number between 0 (extremely negative) and 1 (extremely positive). Tweet: Cream tea @NTColbyGarden #delicious Intensity score:

0.767

v_reg

Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive). Tweet: Thousands of pickled certified ostrogoths ! #angry Intensity score:

0.234

v_reg

Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive). Tweet: 'A #pessimist sees the difficulty in every #opportunity; an #optimist sees the opportunity in every difficulty.' —Winston Churchill #quote Intensity score:

0.607

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Task: Determine the sentiment intensity or valence score of the tweet, representing the tweeter's mental state on a continuum from 0 (highly negative) to 1 (highly positive). Tweet: @Gabriel_4EVR @drassenov @R17L29XI No, it's the lack of games for sure. #sarcasm Intensity score:

0.435

v_reg

Task: Determine the sentiment intensity or valence score of the tweet, representing the tweeter's mental state on a continuum from 0 (highly negative) to 1 (highly positive). Tweet: Nice to be able to turn the alarm clock off until next Tuesday morning. #awesome Intensity score:

0.845

v_reg

Task: Calculate the sentiment intensity or valence score of the tweet, which should be a real number between 0 (extremely negative) and 1 (extremely positive). Tweet: Premier League Teams should fear next seasons Arsenal's XI. #coyg #afc Intensity score:

0.507

v_reg

Task: Assess the intensity of sentiment or valence in the tweet, representing the tweeter's mental state with a real-valued score between 0 (extremely negative) and 1 (extremely positive). Tweet: how are you my love? @Hashtag_DonJon love youu!! thanks for the smile, that motivates me to keep going!! 💛 so blessed to have you 😊 Intensity score:

0.867

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Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). Tweet: 'She is the clothed with strength and dignity, and she laughs without fear of the future.' 💛🌿 @jessconte Intensity score:

0.516

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Task: Determine the sentiment intensity or valence score of the tweet, representing the tweeter's mental state on a continuum from 0 (highly negative) to 1 (highly positive). Tweet: My dads big day is only less than 2 weeks away. 😱 #excited Intensity score:

0.823

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Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive). Tweet: And let the depression take the stage once more 🙃 Intensity score:

0.141

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