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In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Santorini is so beautiful 😍
Intensity score: | 0.759 | 4 | v_reg | 868 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Hello everyone! How are you? Sinong excited na for live shows? Hahaha don't worry we are too 😃😬
Intensity score: | 0.793 | 1 | v_reg | 869 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Haven't been on a holiday abroad in two years how depressing is that btw☹️". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.107 | 7 | v_reg | 870 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@amc4100 You mean you didn't like the giggle?!?!? 😂 #sarcasm". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.548 | 7 | v_reg | 871 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
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 | 1 | v_reg | 872 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
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 | 2 | v_reg | 873 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @BethRigby And you'd even worn an attention-grabbing bright green jacket too... | 0.328 | 5 | v_reg | 874 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
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 | 0.232 | 9 | v_reg | 875 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the 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 | 0.339 | 5 | v_reg | 876 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Let's analyze the sentiment intensity of the tweet "Woke up with a horrible cloggy summer cold #attractive 😉😩". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.339 | 6 | v_reg | 877 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: It's a #blessing to love it's a blessing to have someone to love | 0.645 | 5 | v_reg | 878 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Assess the sentiment intensity of the 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" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative. | 0.710 | 8 | v_reg | 879 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: IT WASN'T ENOUGH 😢
Intensity score: | 0.133 | 1 | v_reg | 880 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Good Night everyone... #goodnight #sleep #nice #great #night #music #day". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.850 | 7 | v_reg | 881 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @WILLLANNO Man u r just bitter about Manu making great strides...
Intensity score: | 0.411 | 0 | v_reg | 882 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Let's analyze the sentiment intensity of the tweet "They cancelled Chewing Gum. #devastated". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.103 | 6 | v_reg | 883 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @christinequinty I just knew. #delightful #Eclipse | 0.806 | 5 | v_reg | 884 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Let's analyze the sentiment intensity of the tweet "Reads two sentences about engagement...yeah...that's enough let's see what social media has to offer. #ironic". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.324 | 6 | v_reg | 885 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Welcome new followers @GibbonWa @Halmarun @CleanFaceSkin We will mostly be talking #happiness & #ethicalfashion Happy to connect :)
Intensity score: | 0.891 | 1 | v_reg | 886 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @Deb_Renee Good morning, you're very welcome awesome lady 🤗 😍
Intensity score: | 0.781 | 0 | v_reg | 887 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Assess the sentiment intensity of the 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!" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative. | 0.552 | 8 | v_reg | 888 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: She'll leave you with a smile | 0.758 | 5 | v_reg | 889 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @Teenique yessss waiting for an epi is for the birds. it sucks. im waiting for walking dead new season😩
Intensity score: | 0.296 | 1 | v_reg | 890 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Let's analyze the sentiment intensity of the tweet "They say money can't buy happiness... Retweet this if you'd be happy with 27 Million Dollars.". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.656 | 6 | v_reg | 891 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Assess the sentiment intensity of the tweet "@ClairePotter @Mermaids_March @2minbeachclean Woohoo! Enjoy Claire! Happy Tuesday :D" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative. | 0.883 | 8 | v_reg | 892 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Assess the sentiment intensity of the tweet "A man without a smiling face must not open a shop. -Chinese Proverb" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative. | 0.500 | 8 | v_reg | 893 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
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 | 4 | v_reg | 894 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Let's analyze the sentiment intensity of the tweet "@Good_Therapy and @CounsellorsCaf are talking about #depression today! What's trending in your community?". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.521 | 6 | v_reg | 895 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @itsjordansroom Good Morning to you as well Miss Jordan!! Have a cheerful day!
Intensity score: | 0.741 | 2 | v_reg | 896 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: Goodevening 😆 | 0.679 | 9 | v_reg | 897 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the 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 | 0.906 | 5 | v_reg | 898 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @Miss_Wisconsin It's amazing what not being told no enough can raise. #horrid
Intensity score: | 0.258 | 2 | v_reg | 899 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Assess the sentiment intensity of the tweet "When do you feel the hungriest?\nThe night before I start a new #diet .\n#hungry #food #HealthyEating #trying #new #funny" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative. | 0.564 | 8 | v_reg | 900 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Assess the sentiment intensity of the tweet "@dp_srk_rk It's going 3 only. He has berdych tomorrow. Nothing to worry. Easiest draw" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative. | 0.468 | 8 | v_reg | 901 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @deray Someone needs to speak for the frat boys #sarcasm | 0.323 | 5 | v_reg | 902 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Best evening adult drink w/chocolate #satisfaction is @Nestle DARK hot chocolate + chili powder + cinnamon + whiskey #delicious ☕️
Intensity score: | 0.852 | 1 | v_reg | 903 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
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 | 2 | v_reg | 904 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @CrystalSuicide I see that #sarcasm
Intensity score: | 0.438 | 0 | v_reg | 905 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @ThePURCompany I have tried #PUR Mojito Lime mints They are #delicious 😘Happy #NationalMojitoDay to all #contest #win ✅💚
Intensity score: | 0.823 | 0 | v_reg | 906 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: When his ex stops being a jealous psycho.............after yous are split 😂😂 #ironic 🤔
Intensity score: | 0.607 | 2 | v_reg | 907 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: It's tough when people give up on their friends because of politics. #irony is a bitch. #relatable
Intensity score: | 0.258 | 1 | v_reg | 908 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @chuckwoolery I Feel sick reading this, when does it end? #dread #civil war? #sad
Intensity score: | 0.083 | 2 | v_reg | 909 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Wouldn't it be fantastic if it was discovered that DJT Jr. forwarded that email to his father... #irony
Intensity score: | 0.547 | 1 | v_reg | 910 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Determine the valence intensity of the tweeter's mental state conveyed in the 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-". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.645 | 7 | v_reg | 911 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Trump, standing on stage next to @EmmanuelMacron (39) defending his idiot son @DonaldJTrumpJr (39), calling him a 'fine young man' #ironic". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.276 | 7 | v_reg | 912 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
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 | 1 | v_reg | 913 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @gammarus @Steel_Con @Scott_Helme People know your serious now brother! #awesome
Intensity score: | 0.806 | 2 | v_reg | 914 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Going to bed with dry and clean hair. #blessing
Intensity score: | 0.667 | 3 | v_reg | 915 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
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 | 4 | v_reg | 916 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
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 | 0 | v_reg | 917 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: #31DaysOfJoy Laughter brings me so much joy! It's good for the ❤️. #laughter #laughterishealing #laughterisgoodforthesoul
Intensity score: | 0.935 | 1 | v_reg | 918 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: .@PayPal why do you always make it so incredibly difficult to do anything or get anything resolved? #customerservice #sucks
Intensity score: | 0.141 | 1 | v_reg | 919 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Assess the sentiment intensity of the 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 😟" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative. | 0.220 | 8 | v_reg | 920 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
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 | 2 | v_reg | 921 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Let's analyze the sentiment intensity of the tweet "I want a friendship group like in Friends 😧". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.484 | 6 | v_reg | 922 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @whutyearisit Conforto striking out like that, what a loser #sarcasm #metstwitter
Intensity score: | 0.371 | 2 | v_reg | 923 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Assess the sentiment intensity of the tweet "Choose someone who makes you laugh #😂" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative. | 0.667 | 8 | v_reg | 924 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Assess the sentiment intensity of the tweet "I love it when my coworker talks to me about the most recent episode of a show I don't watch.... #sarcasm #idontgiveafuck" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative. | 0.391 | 8 | v_reg | 925 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Let's analyze the sentiment intensity of the tweet "It's a good morning today and I'm feeling lively 😊 #goodmorning #happy #lively". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.817 | 6 | v_reg | 926 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Cream tea @NTColbyGarden #delicious". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.767 | 7 | v_reg | 927 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: Thousands of pickled certified ostrogoths ! #angry | 0.234 | 5 | v_reg | 928 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Assess the sentiment intensity of the tweet "'A #pessimist sees the difficulty in every #opportunity; an #optimist sees the opportunity in every difficulty.' —Winston Churchill #quote" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative. | 0.607 | 8 | v_reg | 929 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @Gabriel_4EVR @drassenov @R17L29XI No, it's the lack of games for sure. #sarcasm
Intensity score: | 0.435 | 0 | v_reg | 930 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: Nice to be able to turn the alarm clock off until next Tuesday morning. #awesome
Intensity score: | 0.845 | 0 | v_reg | 931 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Premier League Teams should fear next seasons Arsenal's XI. #coyg #afc". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.507 | 7 | v_reg | 932 |
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In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
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 😊 | 0.867 | 9 | v_reg | 933 |
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In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: 'She is the clothed with strength and dignity, and she laughs without fear of the future.' 💛🌿 @jessconte
Intensity score: | 0.516 | 2 | v_reg | 934 |
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In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: My dads big day is only less than 2 weeks away. 😱 #excited
Intensity score: | 0.823 | 0 | v_reg | 935 |
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In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: And let the depression take the stage once more 🙃
Intensity score: | 0.141 | 4 | v_reg | 936 |