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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: Vin Diesel is pretty cool. I have seen him in that movie Riddick and Pitch Black too. He must work out or something. #smiles | 0.672 | 9 | v_reg | 468 |
|
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: @LovinUnited That'll be Madrid throwing a huff over Morata and De Gea. Fuck them
Intensity score: | 0.183 | 1 | v_reg | 469 |
|
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 "@kristeen_battle Your AVI♥♥♥A-one #smile #hairstyle #pretty". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.700 | 7 | v_reg | 470 |
|
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: When Dino was making a fool of himself with that Ajekun iya stunt, y'll hailing him but a bereaved person got a chance to be joyful = abuse? | 0.357 | 9 | v_reg | 471 |
|
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: To recreate my romantic memories, I'd just put a chip on my shoulder #masterchefau
Intensity score: | 0.411 | 3 | v_reg | 472 |
|
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: @HundredRecs Nashville Sound lyric book edition! #glee
Intensity score: | 0.641 | 1 | v_reg | 473 |
|
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 "@CutTimeComic They are adorable !!! I need them all 😭" 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. | 0.719 | 8 | v_reg | 474 |
|
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: @AdamZHerman shocked as well. but bc I cheer for another club in the swiss league… | 0.431 | 9 | v_reg | 475 |
|
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: @JustMpumi I understand where the question is coming from. 😄😄. Uyakhumbula ngathi they'll never go to KwaNdebele. Uyakhumbula? 😄
Intensity score: | 0.548 | 2 | v_reg | 476 |
|
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: @SteveConteNYC lovely! 😀 | 0.661 | 5 | v_reg | 477 |
|
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 "Today I'm #grateful for\n\nMy car\nMy phone\nMy thumbs\nGoing on walks\n@Twitter \n\nWhat are you grateful for today?" 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. | 0.776 | 8 | v_reg | 478 |
|
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: the only problem people should have in the morning is burning their tounges on hot coffee (like i just did)
Intensity score: | 0.403 | 4 | v_reg | 479 |
|
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: no matter what i do i find that you’re always in my heart, and forever on my mind.\nlove u endlessly cory... #4yearswithoutcory #glee
Intensity score: | 0.446 | 1 | v_reg | 480 |
|
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: @DonaldJTrumpJr would believe a Russian lawyer for dirt on @HillaryClinton over US intelligence? Hmmmm #superpatriot #sarcasm
Intensity score: | 0.483 | 1 | v_reg | 481 |
|
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: @mythos1014 I think I will tomorrow. I ain't ready for all those feels though. 😥 | 0.333 | 9 | v_reg | 482 |
|
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: I own lots of roller skate tools... and my new ones have different sizes on EVERY single screw 😭 #newskates #cry | 0.281 | 5 | v_reg | 483 |
|
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 can't believe a burrito was left on this sink and nobody though to trash it
Intensity score: | 0.250 | 2 | v_reg | 484 |
|
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: Dear fellow #humans do not fall in #despair ! Soon we'll #drink #beer in #satanists élites skulls, #celebrating #end of #kakocracy 🐬
Intensity score: | 0.567 | 4 | v_reg | 485 |
|
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: It feels nice to have an answer even if the answer is despair. #irony #TopThat #localcomedy
Intensity score: | 0.383 | 0 | v_reg | 486 |
|
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: @sonyxperia @SonyUK I need a mobile phone screen repair..... Help (Newcastle UK) #devastated
Intensity score: | 0.083 | 0 | v_reg | 487 |
|
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: I hope my eyes were camera that records all happy moments+
Intensity score: | 0.806 | 0 | v_reg | 488 |
|
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: the thing about living near campus during the summer is that it's a ghost town but now everyone is back and im #annoyed
Intensity score: | 0.063 | 4 | v_reg | 489 |
|
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: I'm so nervous I could puke + my body temp is rising ha ha ha ha ha
Intensity score: | 0.422 | 4 | v_reg | 490 |
|
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 you realize you start college in literally less than a month hahahaha what the FUCK I just wanna be a #carefree teen forever TF" 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. | 0.484 | 8 | v_reg | 491 |
|
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: got a channel on my Roku which has 24/7 Invader Zim playing. | 0.635 | 9 | v_reg | 492 |
|
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: Were starting an @insecurehbo club at my job. Every Monday we must be caught up on required watching. @opjumpstartlb @IssaRae
Intensity score: | 0.468 | 0 | v_reg | 493 |
|
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 want my better days to be here already bc i cant handle any more anger, heartache, n disappointment\ni srsly cant withstand being human lol" 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. | 0.119 | 8 | v_reg | 494 |
|
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: Remember when you were a kid and you flipped up the bottom of your shirt to make a pouch and put snacks in there? #times #snacks
Intensity score: | 0.586 | 1 | v_reg | 495 |
|
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 "kokobop is such a weird name\nbut I remember that it is said to be more lit that growl and it is #EXO so I'm accepting the name". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.609 | 6 | v_reg | 496 |
|
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: Koi to uso is off to a great start, enjoying it alot. Hope i don't lose interest midway just like i did with the manga xD
Intensity score: | 0.629 | 2 | v_reg | 497 |
|
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: Back on Twitter so I can follow my kid, at sleepaway camp, with no electronics. #irony
Intensity score: | 0.533 | 0 | v_reg | 498 |
|
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: @miracles_J yaaay finally brave enought to comment on their vlive 😅
Intensity score: | 0.707 | 2 | v_reg | 499 |
|
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: @NBCNews @MarkHalperin @KeirSimmons Well that's funny cause we all know she is a serious Russian mafia atty
Intensity score: | 0.764 | 1 | v_reg | 500 |
|
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: Doing my daily devotionals brings me such 🙌🏽 joy to my life. Its truly #amazing to study his words. #amen #godisgood #dailydevotionals
Intensity score: | 0.742 | 3 | v_reg | 501 |
|
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 "@chrislhayes Imagine. #irony #asininity". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.433 | 6 | v_reg | 502 |
|
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: @FuthieMasina Lol nah u subscrib 4 R60/pm. N pay R3 each day thus anada R90/pm. Lol stream n use de app using ur data. #smiles
Intensity score: | 0.500 | 3 | v_reg | 503 |
|
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 "@backtwo0 I believe these are my first pieces of artwork lol. A few of us received them. Hysterical 🤣". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.741 | 7 | v_reg | 504 |
|
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: Okay this girl On teen mom is screaming but she only 2 cm dilated 😭 when I was 2 cm I was just pissed bc she wouldn't give me water
Intensity score: | 0.313 | 3 | v_reg | 505 |
|
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: madly in love with the love of @ActionBronson for food. <3 <3 <3 #fuckthatis
Intensity score: | 0.790 | 4 | v_reg | 506 |
|
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: Wishing you a blessed and happy morning. Glad to be here. Do you🤔 and brighten someone's day in your pursuit of happiness.
Intensity score: | 0.733 | 2 | v_reg | 507 |
|
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: @yollzbby That brown waist coat was a NO 😂
Intensity score: | 0.516 | 2 | v_reg | 508 |
|
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: Can a kangaroo jump higher than a house? Ofcourse, a house doesn’t jump at all.\n#elephantsportsllp #happy #jokeoftheday #laugh #stayhealthy | 0.891 | 5 | v_reg | 509 |
|
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 "@Kawells00 So bright that kill my heart😂" 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. | 0.817 | 8 | v_reg | 510 |
|
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 "Request MRI 2 years ago, Neuro only requested last year, I'm still waiting on appointment #mssucks #healthcareFail" 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. | 0.267 | 8 | v_reg | 511 |
|
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 "@narendramodi There should need to take serious action over terrorism sir". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.217 | 6 | v_reg | 512 |
|
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: @realDonaldTrump @DonaldJTrumpJr Is it driving you absolutely mad that the thing that will finally bring you down is an email? #ironic
Intensity score: | 0.357 | 4 | v_reg | 513 |
|
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: @_StevenKavuma I know!! #carefree
Intensity score: | 0.516 | 1 | v_reg | 514 |
|
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: @HuffPostUK As comical as this I really do despair for this country.
Intensity score: | 0.322 | 1 | v_reg | 515 |
|
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 "@rachcolours But smiling 😄☔️". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.724 | 7 | v_reg | 516 |
|
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: @BCFC_Community excellent Jnr blues parents Meeting tonite lots of info given cheers all👍 #futuresbright#development baileyu12s #excited 😃⚽
Intensity score: | 0.875 | 0 | v_reg | 517 |
|
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: Defin @GetSpectrum Worst.Internet.Service.Ever. The cancer of monopolies
Intensity score: | 0.183 | 1 | v_reg | 518 |
|
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: So hungry after eclipse. Ate a few slices of roasted beef, some cheese, and a glass of wine. Now I need a nap after reading. #bliss #eclipse
Intensity score: | 0.613 | 4 | v_reg | 519 |
|
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: @tommygoodwin Come on Tommy the weather in DC in mid-August is absolutely beautiful #DCstaycation #sarcasm
Intensity score: | 0.531 | 3 | v_reg | 520 |
|
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 "@Afi_licious I have at 7am so I have to get up around 5am to get ready! N also 7am classes are never pleasant 😭" 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. | 0.210 | 8 | v_reg | 521 |
|
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: @MikeyBustos im extremely sad and the parody is not on time 😭 i need to laugh | 0.117 | 9 | v_reg | 522 |
|
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: So.... am I the only one hoping this ends in a tie, just like the last one that didn't count? #mke #irony
Intensity score: | 0.403 | 2 | v_reg | 523 |
|
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: @fredonair I always laugh during horror movies
Intensity score: | 0.766 | 3 | v_reg | 524 |
|
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: Having a bad day @TescoIrl #nightmare
Intensity score: | 0.125 | 1 | v_reg | 525 |
|
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: @jessmacf_ But his mannerisms are hilarious !!
Intensity score: | 0.656 | 4 | v_reg | 526 |
|
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 "@KatRamsland 'call to action by TV host John Oliver, who urged viewers to leave comments expressing their displeasure at the FCC's policies.". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.375 | 6 | v_reg | 527 |
|
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: @Parlez_me_nTory @UKLabour Oh you are awful but I like you.... | 0.486 | 9 | v_reg | 528 |
|
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 "@jinsproducer Thank you so much!! I don't draw a whole lot anymore but long haired jun is #inspiring". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.790 | 6 | v_reg | 529 |
|
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: @Jack_Septic_Eye You do know when most people refer to the hair as “lawn” they mean down there right?? 🤣
Intensity score: | 0.531 | 4 | v_reg | 530 |
|
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: Its hilarious that baby buffoon Trump provides evidence. Nothing new though. Eyes on the prize. Stop this nazi based admin in its tracks. | 0.500 | 9 | v_reg | 531 |
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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: If the original 'We don't have to take our clothes off' doesn't cheer me up, we're in trouble | 0.467 | 9 | v_reg | 532 |
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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:
Let's analyze the sentiment intensity of the tweet "This the way I rage, \n\non sum wopstar shit ⭐️". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.367 | 6 | v_reg | 533 |
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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: 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: persuade me into taking you out by using lively puns
Intensity score: | 0.550 | 1 | v_reg | 534 |
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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: 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 allow myself to be . #bekindtoyourself #quote
Intensity score: | 0.517 | 1 | v_reg | 535 |
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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 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: @Deyfresco haha harsh but funny! Depends on which Jones we get. The Jones that fought OSP would have lost to DC imo | 0.567 | 5 | v_reg | 536 |
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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 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: Its funny how the people that break your heart are the ones that swore they never would #irony | 0.277 | 5 | v_reg | 537 |
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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:
Let's analyze the sentiment intensity of the tweet "This Wednesday @ChandlerBMusic #kickstarter begins! Y'all be READY! #ChandlerBayMusic #ChandlerBayEP #tantrum". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.793 | 6 | v_reg | 538 |
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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: 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: How to get rich quick: Step 43. Get a suit fitted and panic.
Intensity score: | 0.500 | 3 | v_reg | 539 |
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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:
Let's analyze the sentiment intensity of the tweet "#Merkel has supported all #Israeli #terror initiatives opposing the #Palestinian bid for membership at the #UN.". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.403 | 6 | v_reg | 540 |
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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:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "I hate when stupid ass shit irritate me". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.054 | 7 | v_reg | 541 |
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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: I'm also wheezing really hard. I decided to make up today, and then after I got to work realized it was mbbsd, and now I'm #intimidated
Intensity score: | 0.300 | 0 | v_reg | 542 |
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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: Early childhood demonstrates #pleasure seeking behavior and it can’t be considered as the vital tool of knowledge learning. \n#edchat #edtech
Intensity score: | 0.593 | 4 | v_reg | 543 |
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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: Go harder when everyone else has had enough. #relentless #Cleaner
Intensity score: | 0.558 | 2 | v_reg | 544 |
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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: 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: many lead by expectation ,rather than by example. Perpetually holding Damocles Sword over their staff's head & expecting them to be joyful
Intensity score: | 0.458 | 3 | v_reg | 545 |
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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: 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: The next eclipse is in like 2024 and we won't have to deal with it in Nebraska. #relieved 🙄
Intensity score: | 0.517 | 1 | v_reg | 546 |
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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:
Assess the sentiment intensity of the tweet "wow, i really can't believe four years already went by. four years. jeez. we miss you big guy #4yearswithoutcory #corymonteith #glee" 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. | 0.531 | 8 | v_reg | 547 |
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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: 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: If your nail polish has hardened or is gummy, place the bottle in a pan of boiling water. The polish will be like new.
Intensity score: | 0.500 | 1 | v_reg | 548 |
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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:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "its #easy to be #unhappy 😐". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.161 | 7 | v_reg | 549 |
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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: The things I get myself into... #nervous #excited #prayforme
Intensity score: | 0.517 | 4 | v_reg | 550 |
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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: Man, filling out your dad's life insurance paperwork will really put a damper on your Tuesday morning. Really makes it feel final...
Intensity score: | 0.538 | 4 | v_reg | 551 |
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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: @AWilliamson54 dude, you're killing it on KSR #hilarious #AradioNatural
Intensity score: | 0.950 | 0 | v_reg | 552 |
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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: @thetimtracker Saw last nights vlog. Sorry bout what u guys went through this weekend. Just glad u r doing better! Happy car shopping. | 0.519 | 9 | v_reg | 553 |
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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:
Assess the sentiment intensity of the tweet "Getting an unexpected phone call that instantly cheers you up & makes you smile! :) #week12 #itsthelittlethings #smiles" 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 | 554 |
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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:
Let's analyze the sentiment intensity of the tweet "Have to go to a occupational services place for a drug test. Yet they don't know what the heck is going on. Just great! #blah #😡". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.172 | 6 | v_reg | 555 |
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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: @BrokenSStudios @BLUpfront @CakedaddyINTL @ringoffireradio @ROF_Josh You must be racist... #sarcasm
Intensity score: | 0.414 | 0 | v_reg | 556 |
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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:
Let's analyze the sentiment intensity of the tweet "Battery drain & a red hot iPhone (again) 🙁 #iOS11beta3". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.167 | 6 | v_reg | 557 |
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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: @INFOSMESSl Happy birthday, hope you have a good day! | 0.828 | 9 | v_reg | 558 |
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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 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: @ellagallagher Thing is tho my pout was actually serious | 0.445 | 5 | v_reg | 559 |
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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: Having #sarcastic #friends will make you more #creative. #Sarcasm is considered a #brain stimulant. #friendship #SarcasmEnglish
Intensity score: | 0.552 | 4 | v_reg | 560 |
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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: If someone gives you a confidential memo regarding the President of U.S., and tells you to leak it to the press, alarm bells should go off | 0.534 | 9 | v_reg | 561 |
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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:
Assess the sentiment intensity of the tweet "Man having sinuses is some of the weakest shit 😡 my face and head still hurting smh" 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. | 0.129 | 8 | v_reg | 562 |
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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:
Assess the sentiment intensity of the tweet "Itw in latest @TechnologistEU: 'Tackling the gender gap'. Rest of the magazine: 25+ itws of men and 3 women mentioned! #ironic #seriously" 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. | 0.383 | 8 | v_reg | 563 |
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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: You are MINE, my baby, my headache, my love, my smile, my frown, my wrong, my right, my pain, my happiness, my everything.
Intensity score: | 0.806 | 0 | v_reg | 564 |
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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: My new hope is we start asking for more emails for evidence and it brings it all down. I'd love the #irony #DonaldTrumpJr
Intensity score: | 0.468 | 2 | v_reg | 565 |
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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: @colinmegill Very reassuring 2017 #sarcasm
Intensity score: | 0.521 | 2 | v_reg | 566 |
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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: #AmarnathTerrorAttack Muslims are killing everywhere Syria Iraq Palestine Everyday beyond They say that Islam is terrorism shame on you
Intensity score: | 0.241 | 4 | v_reg | 567 |