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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 "@elisegaro @jaketapper Very noble of Trump to stand behind his son and not throw him under the bus. #sarcasm". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.383 | 7 | v_reg | 268 |
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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: Also YAY @ChadHoy that's awesome about TX! &I I'm not sure why but it makes me sad ur leaving Indy cuz it's not like we ever hang lol
Intensity score: | 0.365 | 1 | v_reg | 269 |
|
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: @MarkACollett Un-fu**ing-real! So glad I don't live I the UK right now. My heart aches for my British cousins over there. π
Intensity score: | 0.297 | 4 | v_reg | 270 |
|
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: @markiplier This is | 0.534 | 5 | v_reg | 271 |
|
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: Defendant greets the bench with a cheery 'hello!'. He is late arriving at court because he was collecting his methadone script. #SwansMags
Intensity score: | 0.548 | 1 | v_reg | 272 |
|
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: psa: if you read while you're laying out you sort of forget about the boiling sun and the sweat poring down your face π
Intensity score: | 0.466 | 2 | v_reg | 273 |
|
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: Is it weird to look at your creative work and not know if it looks good or not? π€·π»ββοΈ Does this even make sense? #π #design #EclipseDay | 0.656 | 5 | v_reg | 274 |
|
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: @tribjazz Any chance Boston would trade Hayward for DM, Exum, and a future 1st rounder? Would the Jazz be interested? #sarcasm | 0.534 | 9 | v_reg | 275 |
|
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: @tenderlove listened to your CUSEC 2015 talk again for inspiration in writing my own conference talk #tornado of #laughs | 0.733 | 9 | v_reg | 276 |
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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: @AvrilLavigne Mom A. i saw ur insta, why? ur picture black in white, butβ it's nice ur smile :) winnerπππΈπΈπΈ
Intensity score: | 0.724 | 3 | v_reg | 277 |
|
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: @DonaldJTrumpJr @realDonaldTrump Still say #RussiaProbe is #fakenews @DonaldJTrumpJr ? #ironic #lockhimup
Intensity score: | 0.367 | 4 | v_reg | 278 |
|
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: @theviberide great workout this morning alongside @Emily_Gagnon thx #Courtney my legs are still | 0.629 | 9 | v_reg | 279 |
|
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: Once I'll graduate, I hope I'll have the time to start learning Finnish on my own because I've been putting it off for quite too long π’
Intensity score: | 0.306 | 2 | v_reg | 280 |
|
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 "@realDonaldTrump Maybe we can save them all from the desolate hell that I have no idea about". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.531 | 6 | v_reg | 281 |
|
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: @balleralert @akadmiks these kind of cops are the reason people hate cops & cant trust anything
Intensity score: | 0.274 | 0 | v_reg | 282 |
|
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 "Look at this little guy! He is connecting to his magical self.π\nWhat do you do to keep life magical?π @AnewPerspective #magical #be" 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. | 0.600 | 8 | v_reg | 283 |
|
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: Fear not @lisajnc1951, God is with you, don't be discouraged, for He is your God, He strengthens and helps you at all time. Is 41:10
Intensity score: | 0.726 | 0 | v_reg | 284 |
|
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: @edutopia What an innovative way for admin to see what's going on in classrooms! #leadup #awesomeness | 0.793 | 5 | v_reg | 285 |
|
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: @shomaristone @TIME Interestingly shocking and sad! American Judiciary is seriously flawed!
Intensity score: | 0.133 | 4 | v_reg | 286 |
|
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: genuinely think im dying boys n girls never felt so awful in my LIFE x
Intensity score: | 0.200 | 4 | v_reg | 287 |
|
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: @MaajidNawaz hahahaha the adverts in your show are begging to recruit teachers. Irony. #irony
Intensity score: | 0.734 | 0 | v_reg | 288 |
|
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: Car coming out of the lot with two stickers: 'tax the filthy rich' and 'be a heretic' #irony
Intensity score: | 0.411 | 0 | v_reg | 289 |
|
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: @ian_beckett Have the most wonderful day Ian. | 0.790 | 5 | v_reg | 290 |
|
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 "@CJamesFelts @NunleyJmannuley @gogreen18 @Mikell_Pine @ChrisRGun I see you've closely studied the history of science. #sarcasm". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.550 | 7 | v_reg | 291 |
|
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: @charliekirk11 @DonaldJTrumpJr Little Donnie is heading to jail, rejoice. | 0.547 | 9 | v_reg | 292 |
|
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: @NoFoLaura @thomaswoodrow I for one, will believe that @Alanis Morissette has another verse for her song. #ironic
Intensity score: | 0.433 | 1 | v_reg | 293 |
|
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: ο»ΏMy brain is out for a walkπ«π£ #conceptpaper #thesis #research #stress #sarcastic #Sarcasm
Intensity score: | 0.250 | 0 | v_reg | 294 |
|
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 was more happy and excited about mamapink's interactions with each other than i was about any of their wins i gtg
Intensity score: | 0.726 | 2 | v_reg | 295 |
|
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: These guys really out here disrespecting women while their moms still be doing their laundry. π€£
Intensity score: | 0.345 | 1 | v_reg | 296 |
|
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: @CBSNews You'd think that someone with such an honest father would be more like him, right? #sarcasm
Intensity score: | 0.315 | 0 | v_reg | 297 |
|
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: @chichupedathaa ROFL π€£ | 0.667 | 9 | v_reg | 298 |
|
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 think our dreams can motivate us more than our fears can paralyze us.' ~ Chris Hogan #dreams #fears #life | 0.552 | 9 | v_reg | 299 |
|
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 "When you should be working, but you're shopping amazon prime deals instead... π¦". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.406 | 6 | v_reg | 300 |
|
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: @_Makada_ Love and Hugs: $0. A police force to hunt down the person threatening you: Priceless #irony
Intensity score: | 0.603 | 1 | v_reg | 301 |
|
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: I've seen the innocence leave your eyes. I still mourn this death.
Intensity score: | 0.224 | 3 | v_reg | 302 |
|
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: @RRakoto42 It only took me 39 seconds to fly over Mozambique. #awesomeness | 0.707 | 5 | v_reg | 303 |
|
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'll control my #anger... if you can manage your #stupidity. #TeamFollowBack #ηΈδΊγγ©γγΌ #fact #figuremeout". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.241 | 6 | v_reg | 304 |
|
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: When you wake up early to workout and then the fitness room smells awful, so you come back to your room to do core... | 0.242 | 5 | v_reg | 305 |
|
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'm freezing in the sun, i'm burning in the run" 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. | 0.203 | 8 | v_reg | 306 |
|
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: NEW MUSIC FRIDAY: FIRST SINGLE OFF THE NEXT PROJECT. #untitled #mattrod #hiphop #boston #hartford #animosity #thesemycities | 0.581 | 5 | v_reg | 307 |
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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: @FlamingGrillby 'my own mistakes?' Grisk asked - well, more of a growl 'My mistakes meant that I could /learn/ from them and improve!'
Intensity score: | 0.532 | 1 | v_reg | 308 |
|
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 actually hate Vision. Coming over from @emiswebsupport is like moving from Man City to QPR. A league below, past it and clouded in chaos.
Intensity score: | 0.362 | 2 | v_reg | 309 |
|
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: @titsjpeg Yeah funny and sexy π | 0.855 | 9 | v_reg | 310 |
|
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: So happy that I discovered coding...knowing what you want to do in life at the age of 23 is an amazing feeling. #webdevelopment
Intensity score: | 0.903 | 1 | v_reg | 311 |
|
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: @Flewbys This thread is a bunch of Putin lovers rejoicing over a video posted by Iranian state television. Sad!
Intensity score: | 0.241 | 0 | v_reg | 312 |
|
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: No, I'm not 'depressed because of the weather,' I'm depressed because I have #depression #sicknotweak
Intensity score: | 0.103 | 4 | v_reg | 313 |
|
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 "@billjoehughes Sounds delightful π
" 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. | 0.758 | 8 | v_reg | 314 |
|
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: It's amazing to see what people will do in order to make themselves look good. #sarcasm
Intensity score: | 0.517 | 2 | v_reg | 315 |
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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 "@SSAFA Congratulations #DamianDagg and #JoshuaThorne. I wish you a #future #togetherβ€οΈ". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.871 | 7 | v_reg | 316 |
|
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: God bless him in Hong Kong! #ex | 0.667 | 9 | v_reg | 317 |
|
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: Damn, y'all flamin' him. π\n\nI just thought it was funny. ππ
Intensity score: | 0.783 | 2 | v_reg | 318 |
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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 "@payne_quaray You might have been doing it for the wrong one. Don't fret π". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.306 | 7 | v_reg | 319 |
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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 "@realDonaldTrump Psalm 149:4\nFor the #Lord takes #pleasure in His #people; He will beautify the #humble with #salvation." 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. | 0.558 | 8 | v_reg | 320 |
|
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 "Nice of Fox sports to show the #Canadian national anthem on their national broadcast of the #MLBAllStarGame #sarcasm" 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. | 0.517 | 8 | v_reg | 321 |
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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: @Bemannn UGH I can't even contain my excitement!! π
Intensity score: | 0.862 | 4 | v_reg | 322 |
|
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 "Make her burst into laughter bcs of you.". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.674 | 7 | v_reg | 323 |
|
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: @JeffreeStar may I ask a question please #scared
Intensity score: | 0.278 | 1 | v_reg | 324 |
|
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: @Channel9 how could you put this show on air !! Disrespectful to so many mums and families π‘ | 0.078 | 9 | v_reg | 325 |
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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 "The blue vest Planet of the Apes/ DeRay thing is hilarious. This shows his age because the original literally had a blue vest on.π
" 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. | 0.768 | 8 | v_reg | 326 |
|
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: As for me, i fucking don't care how many cars they paraded up and down. None belongs to them anyway! Lol hehehe #fact #sarcasm lol πππ
Intensity score: | 0.621 | 4 | v_reg | 327 |
|
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: Low key Dro f*cked Molly like he had a point to prove lmao π #InsecureHBOΩ #insecure #MollyOutHereWreckingHomes #repeatcycle
Intensity score: | 0.516 | 1 | v_reg | 328 |
|
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: One chair is having the munchies. Are Alpacas edible? #afraid #WhattheFAC #SalientFAC #Salient2017 | 0.481 | 5 | v_reg | 329 |
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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 "Me and @DicksonEmily's snap streak is at 260, if that's not amazing I don't know what is #commitment". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.484 | 6 | v_reg | 330 |
|
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: Honestly Michael Clifford is so fucking ugly who let that rabid dog make music
Intensity score: | 0.172 | 4 | v_reg | 331 |
|
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: @shahidafridi37 at his best.... Great to watch u go big sir. #tremendous hits \nDts boom boom Afridi π
Intensity score: | 0.883 | 0 | v_reg | 332 |
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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: #ThursdayThoughts The richest wealth is #Wisdom, the strongest weapon is #peace, the best security is #faith & the best tonic is #laughter | 0.567 | 9 | v_reg | 333 |
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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 "@EllyySchlordt it's awful!". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.107 | 7 | v_reg | 334 |
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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: Nothing more fun to do at a day like this πβοΈπ§ #dark #rainy
Intensity score: | 0.339 | 3 | v_reg | 335 |
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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 "@Dustyisawesome @DefendBrooklyn0 @rabiasquared I will N E V E R recover the shame! #sarcasm". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.435 | 6 | v_reg | 336 |
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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: Happy happy birthday to the girl who never fails to brighten up everyone's day! Thank you for everything! I'll always be here for you. π€ | 0.823 | 5 | v_reg | 337 |
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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 "I wish my heart is a product of biotech bc it badly needs innovation. π #sarcastic" 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. | 0.532 | 8 | v_reg | 338 |
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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 "@JibberJabberin @arrista30 Makes sense. I was actually kinda confused by the subtweet. Kinda thought it was #sarcasm. Still do actually." 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. | 0.450 | 8 | v_reg | 339 |
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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: β¦β¦Of course not, and I am quite dismayed by the ludicrous nature of her claim.
Intensity score: | 0.345 | 4 | v_reg | 340 |
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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: It will never not be hilarious to me when Joe gets mistaken for Olly Alexander at work
Intensity score: | 0.550 | 0 | v_reg | 341 |
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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: @lidl_ireland What a wonderful experience in #Trim. What a star βοΈ#Joileta is. She made my shopping a wonderful experience, helpful | 0.833 | 9 | v_reg | 342 |
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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 "it takes sadness to know happiness\nabsence to value presence" 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. | 0.426 | 8 | v_reg | 343 |
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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: Lol so weird im tweeting those actually for myself #ironic
Intensity score: | 0.581 | 4 | v_reg | 344 |
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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: I cannot see a rational way of bearing a grudge to him for that. I do not. Maybe because I do not live by Netflix and I do not care...
Intensity score: | 0.431 | 3 | v_reg | 345 |
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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: My mom's Puerto Rican. That's why i'm so lively and colorful.
Intensity score: | 0.694 | 4 | v_reg | 346 |
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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: i keep watching all the videos i took from two door cinema club and im sad they were so good i miss them | 0.323 | 9 | v_reg | 347 |
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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 "#Stitchers season 3 marathon. #FreeForm has some #entertaining shows.". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.613 | 6 | v_reg | 348 |
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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 soon to be ex wife needs to learn to chill out & smile
Intensity score: | 0.383 | 2 | v_reg | 349 |
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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 "@wine_mum_ @Bob_Lawblaw Please. Don't insult Goths." 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 | 350 |
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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: @Steph_Ohio @gjarjour @UTAPOUT15 @TheHerd @ColinCowherd Starting a sentence with a conjunction is frowned upon. #ironic
Intensity score: | 0.283 | 0 | v_reg | 351 |
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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: @m00nlightjules happy birthday mamon!!! π
Intensity score: | 0.804 | 2 | v_reg | 352 |
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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 "#Overheard: 'I don't really like dogs.' I DON'T FEEL SAFE IN THIS PLACE. Clearly a hostile environment! #bigly #covfefe #TrustNoOne" 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. | 0.276 | 8 | v_reg | 353 |
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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 "Somebody called y'all president a fucknugget ππ idk what that is but it was the laugh I needed this morning π" 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. | 0.767 | 8 | v_reg | 354 |
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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: @GaryClarkJr seriously best turn out for blues i have ever seen. #amazing | 0.833 | 5 | v_reg | 355 |
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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: On our way to #Gamescom17 What can we expect and who will we meet? #excitement
Intensity score: | 0.781 | 3 | v_reg | 356 |
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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 "@Reuters Great story. #sarcasm". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.483 | 6 | v_reg | 357 |
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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: @laurierecords The worst is getting so very close to life changing contracts and coming up short. Feels like starting over. :-/ #relentless
Intensity score: | 0.371 | 0 | v_reg | 358 |
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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: Casper, Wyoming is just about to witness totality ππ #amazing #Eclipse2017
Intensity score: | 0.683 | 3 | v_reg | 359 |
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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: Worst missing is missing ur ownself u used to be once upon a time. #happy #ambitious#innocent #LifeDreamer
Intensity score: | 0.650 | 1 | v_reg | 360 |
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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: 'When I get sad, I stop being sad and be awesome instead. True Story.' \n- Barney Stinson @ActuallyNPH\n#brohosting #motivation #awesomeness
Intensity score: | 0.667 | 1 | v_reg | 361 |
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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: Thx @DirectEnergy for hosting us @StampedeShaker β€οΈ my boys @TomCochraneMUS @Trooper @Sloanmusic π #great #nite | 0.855 | 9 | v_reg | 362 |
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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: @quick13 i wish she were a servant! i'd have her start at my house by picking up the dogπ©in my back yard. #adorable! ... #deplorable! | 0.379 | 5 | v_reg | 363 |
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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 "@JanclydeCEspino at one point this is what i wanted rba sa? hahaha pero di jud oy di jud βΉ what if ga humss ta? π" 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. | 0.306 | 8 | v_reg | 364 |
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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 "When Austin lets u take a rest day #tears #happy #crying #amazing #bestdayever #kindasad #cantfeelmyarms #actuallydieing". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.683 | 6 | v_reg | 365 |
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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: I'm a proud father to a mustache #babystache #adorable #newborn
Intensity score: | 0.839 | 3 | v_reg | 366 |
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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: @PromilaSingh15 Thank you so much Promila aunty π
Intensity score: | 0.800 | 1 | v_reg | 367 |