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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: Just watched #TheDarkTower & I ask how did @StephenKing let them destroy a Literary masterpiece is beyond me. #crap #disappointment #fixit | 0.094 | 9 | v_reg | 668 |
|
In the following section, there 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 "who needs an alarm clock when u have an excited puppy jumping on you every morning". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.571 | 7 | v_reg | 669 |
|
In the following section, there 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: @KimKardashian would u be willing to bless me with $950 #singlemom #blessing #generosity #gettingbackonmyfeet #preschoolfees | 0.633 | 5 | v_reg | 670 |
|
In the following section, there 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: @CamilaLolie97 @Camila_Cabello I'm from Greece, but I'll travel anywhere arround Europe the next time she comes, just to meet her. π
Intensity score: | 0.648 | 3 | v_reg | 671 |
|
In the following section, there 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: @CaptainsLog2017 also, #irony
Intensity score: | 0.466 | 2 | v_reg | 672 |
|
In the following section, there 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 amazes me how many useful videos there are on Youtube. Everyone sharing knowledge & making money doing it. #wonderful
Intensity score: | 0.903 | 0 | v_reg | 673 |
|
In the following section, there 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: @AlaskaAir as a long time Gold & near Million mile member just had a terrible customer service experience #disappointing
Intensity score: | 0.323 | 0 | v_reg | 674 |
|
In the following section, there 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 "Heading to PNC today to get the ball going for my MA! #goingforit #nervous #excited" 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 | 675 |
|
In the following section, there 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 "@TJB_1998 @charlieguzman4 @brfootball @LCFC Very funny TJ, very funny #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. | 0.500 | 8 | v_reg | 676 |
|
In the following section, there 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: @voguelayout fback βΉ
Intensity score: | 0.464 | 4 | v_reg | 677 |
|
In the following section, there 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: Watching #ScottishOpenHeroChallenge from last night... Smoke, flames, tense sound effects and lively commentary.. #boring #dull #shite π | 0.323 | 5 | v_reg | 678 |
|
In the following section, there 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 "@F3Alpha #F3Roswell #Preblast\nI've been handed the keys to Roswell Area Park. See you in the gloom. Be ready to slip & slide at 0530". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.482 | 7 | v_reg | 679 |
|
In the following section, there 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 "Mothafuckas wanna adopt the dark, but I was born in it" 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. | 0.300 | 8 | v_reg | 680 |
|
In the following section, there 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 "#happiness can be found, created or curated.\n\n#depression #DepressionAwareness #Depressed". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.321 | 6 | v_reg | 681 |
|
In the following section, there 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 best kind of self harm is through the mind #depression
Intensity score: | 0.190 | 4 | v_reg | 682 |
|
In the following section, there 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: Seems Trump Jr should have hired Hillary to delete his emails. #ironic | 0.500 | 9 | v_reg | 683 |
|
In the following section, there 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: Done been down so long lost hope done came down so hard I slowed, meditatin all of my wins ain't no limit when I might shine #life #grateful | 0.641 | 5 | v_reg | 684 |
|
In the following section, there 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: @FinnTurner0 do I? I wonder what they are. #sarcasm | 0.481 | 9 | v_reg | 685 |
|
In the following section, there 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 "@EricTrump Yeah, that's it. #sarcasm #traitor #karma #TrumpRussia". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.391 | 7 | v_reg | 686 |
|
In the following section, there 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: Who also miss glee ? #gleek #glee #GleeForever #DreamsComeTrue #dontstopbelieving #gleecast @GLEEonFOX | 0.725 | 9 | v_reg | 687 |
|
In the following section, there 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: #Gambling Horse racing is animated roulette. ~ Roger Kahn #quotes #followme
Intensity score: | 0.567 | 4 | v_reg | 688 |
|
In the following section, there 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 "@ShaneMalwa @MajorPoonia @devyanidilli I believe ur mekka n madina also dikling which u kiss. A dark dirty one". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.467 | 7 | v_reg | 689 |
|
In the following section, there 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: Is it just me or do other @Arsenal fans can't help but start to like #JoseMourinho abit he is actually being honest now an less #sarcastic? | 0.448 | 9 | v_reg | 690 |
|
In the following section, there 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: @S1dharthM @Asli_Jacqueline @foxstarhindi @krishdk @rajnidimoru Looks fun! π cant wait to watch! | 0.700 | 5 | v_reg | 691 |
|
In the following section, there 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: @denisebatters I blame @stephenharper for these terrible terrible rules.
Intensity score: | 0.080 | 3 | v_reg | 692 |
|
In the following section, there 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: @AlbinomiteMM4 I'll be cheering you on from the bench
Intensity score: | 0.625 | 1 | v_reg | 693 |
|
In the following section, there 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: Aw, bummer. @WckdLbrn (Maura Rankin) blocked me for calling her out as a #bully. Some people just #CantHandleTheTruth, can they?
Intensity score: | 0.286 | 2 | v_reg | 694 |
|
In the following section, there 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: Spread the love means no matter how hard life is, never stop smilling :) and be happy. Always.
Intensity score: | 0.828 | 2 | v_reg | 695 |
|
In the following section, there 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: @esmithla Word of advice, don't jump, it's not worth damaging your camera #sarcasm
Intensity score: | 0.321 | 0 | v_reg | 696 |
|
In the following section, there 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: Should I be flattered that locals keep asking if Im Swedish? #Swedish #beautiful #Europe | 0.581 | 5 | v_reg | 697 |
|
In the following section, there 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: @TheVintageYear growl like a dog, see if she lifts herself off and gives you space? | 0.375 | 9 | v_reg | 698 |
|
In the following section, there 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 lies that have been told will uncover the truth. #irony #treason #motive #Kompromat #blackmail what are they hiding?- Dan Rather #MSNBC" 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. | 0.371 | 8 | v_reg | 699 |
|
In the following section, there 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: @BryanHoch Why not go the Tanaka route..just rehab it ..he's pitched so well! #sarcastic
Intensity score: | 0.467 | 3 | v_reg | 700 |
|
In the following section, there 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 "@suzolyle I'd have missed it by a year. Scottish Open near Troon this week but. #sarcastic". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.468 | 6 | v_reg | 701 |
|
In the following section, there 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: @domholland You did brilliant on The Chase. Of course, you were with Tucker flippin' Jenkins so we were cheering like mad, but top job!
Intensity score: | 0.733 | 3 | v_reg | 702 |
|
In the following section, there 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: Did you know the #moon is 400 times smaller than the #sun? #eclipse #amazing #SolarEclipse2017
Intensity score: | 0.690 | 1 | v_reg | 703 |
|
In the following section, there 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: @lukeWHC09 Hahaaa! Was fuming with that ππ
Intensity score: | 0.317 | 4 | v_reg | 704 |
|
In the following section, there 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'm dead tired yet can't sleep #wonderful | 0.290 | 5 | v_reg | 705 |
|
In the following section, there 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: @joerogan I looked at the eclipse without glasses and now I have x-ray vision! #awesomeness
Intensity score: | 0.806 | 4 | v_reg | 706 |
|
In the following section, there 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 "@StreamPlanetHD #crap sorry but doesnβt work". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.241 | 6 | v_reg | 707 |
|
In the following section, there 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: 'Hello, World' program's finally ready for GitHub π
Intensity score: | 0.719 | 2 | v_reg | 708 |
|
In the following section, there 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 "Chicken n stuffing going in the crockpot for din din. #getinmybelly". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.517 | 7 | v_reg | 709 |
|
In the following section, there 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: @iamacatsby except now everyones saying that 'pee your pants' is code for 'kill yourself' and quite honestly it's hilarious
Intensity score: | 0.650 | 0 | v_reg | 710 |
|
In the following section, there 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: Funny, LOL, you actually grew up to be that despicable azzhole you portrayed in Videodrome. #ironic. | 0.629 | 9 | v_reg | 711 |
|
In the following section, there 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: seeing sope perform otsukare always makes me happy no matter how much of a bad day I have
Intensity score: | 0.759 | 0 | v_reg | 712 |
|
In the following section, there 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: Morning! Good vibes today people!! It's July 11, 2017 at 09:00AM #goodmorning #twitter #happy
Intensity score: | 0.810 | 4 | v_reg | 713 |
|
In the following section, there 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 "@Spectacles Not creepy at all...go check @blackmirror ep. The Entire History of You and rethink the concept, people! #irony #PleaseStayHuman". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.333 | 7 | v_reg | 714 |
|
In the following section, there 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: @DannyMcguire6 sad day Danny πyou have been and still are a true Leeds rhino you have been brilliant at the club I will miss you
Intensity score: | 0.241 | 4 | v_reg | 715 |
|
In the following section, there 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: You aren't weathly until you have something, money can't but. \n #goodmorning #bless #guidelife #usa #uk #ksa | 0.650 | 5 | v_reg | 716 |
|
In the following section, there 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: @LuckyStarLights I skip anything below 718 score tbh. Finding other fully SI horse teams is fun though, I added a few through arena. π€£
Intensity score: | 0.569 | 4 | v_reg | 717 |
|
In the following section, there 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 "@jayteemuro Man people wont mourn the 9 chaps beheaded by terrorists. But they will mourn a corrupt killer politician" 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. | 0.250 | 8 | v_reg | 718 |
|
In the following section, there 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: The thought of going to the gym this a.m. & doing HiiT instead of lifting makes me not wanna go at all. #ironic #butimmago #bodylikewhoa | 0.548 | 5 | v_reg | 719 |
|
In the following section, there 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 "@Chris_Meloni Also? #irony". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.407 | 7 | v_reg | 720 |
|
In the following section, there 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 "@BroxtonDaniel I love you more than anything. I'm so glad we're able to make each other so infinitely happyπ". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.806 | 7 | v_reg | 721 |
|
In the following section, there 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 "@mizuvera I hope didn't scare other people who owned this figure that he will move at midnight 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. | 0.656 | 8 | v_reg | 722 |
|
In the following section, there 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: @bfraser747 @DonaldJTrumpJr MSM should not reprint his emails word for word. Its incredibly biased! Sad! #sarcasm
Intensity score: | 0.268 | 4 | v_reg | 723 |
|
In the following section, there 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: Every GIRL deserves a GUY who can make her SMILE :D | 0.744 | 9 | v_reg | 724 |
|
In the following section, there 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: You can pair me with your smartphone. Just lay it on me and by spinning I'll pair it into pieces / #smart #playful #washer #IoT
Intensity score: | 0.700 | 3 | v_reg | 725 |
|
In the following section, there 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 "#horror fiends... what should I watch on @horror_channel or @NetflixUK tonight???" 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. | 0.593 | 8 | v_reg | 726 |
|
In the following section, there 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: @n_umira omg why βΉ | 0.277 | 9 | v_reg | 727 |
|
In the following section, there 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 keep getting so worried about the amount of plastic that gets thrown away atm as if I didn't panic enough about the environment already :)
Intensity score: | 0.155 | 1 | v_reg | 728 |
|
In the following section, there 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: @Pontifex To Pope\nDisclose Fatima's prophecy. Command from \nGod is very angry.\nPlease disclose the prophecy.\nI am a blessed γGod'sγdaughter.
Intensity score: | 0.635 | 3 | v_reg | 729 |
|
In the following section, there 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 "@dngokingyok They are my hetero guilty pleasure π". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.806 | 7 | v_reg | 730 |
|
In the following section, there 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: People who say nmu are the worst, something has to be going on, tell me I wanna know bout your life that's why I fucking asked, I care π€
Intensity score: | 0.113 | 2 | v_reg | 731 |
|
In the following section, there 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: nothing better than going on holiday when the weathers grim at home
Intensity score: | 0.467 | 0 | v_reg | 732 |
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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 "i'll have my own apartment and not have to sneak alcohol into my dorm room or worry about being loud #blessed". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.823 | 6 | v_reg | 733 |
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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 "So happy Steven and I were together to experience that π she's so beautiful" 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. | 0.850 | 8 | v_reg | 734 |
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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 "The only thing ironic about the song Ironic is the title. #ironic #notironic". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.339 | 6 | v_reg | 735 |
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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: @jaden_lindner If I acquire a deadly scowl like that I'm going to be pretty happy to be old | 0.597 | 5 | v_reg | 736 |
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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: season 6 #glee | 0.529 | 9 | v_reg | 737 |
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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 "βLaugh as much as you breath and love as long as you live.β ~Unknown #laugh" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative. | 0.768 | 8 | v_reg | 738 |
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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: It's my time to shine π
| 0.919 | 9 | v_reg | 739 |
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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: Just enjoyed a delicious salad drenched in Theon Nectar's Greek Extra Virgin Olive Oil β absolutely DELICIOUS!! Mmmmm! #yummy #healthy
Intensity score: | 0.774 | 0 | v_reg | 740 |
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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: @justicemalala The Guptas is the middle man from hell. ..men with cigars sitting and plotting in the dark of night
Intensity score: | 0.293 | 0 | v_reg | 741 |
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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: Who ever knew it would feel good to have such a wonderful hour and a half interview? π #smiling #success
Intensity score: | 0.953 | 4 | v_reg | 742 |
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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 "They've cleared the warehouse floor at work and there's sooo much beautiful smooth concrete π". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.556 | 7 | v_reg | 743 |
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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: @reltxrodeoqueen Wow! Isn't evolution wonderful! #sarcasm
Intensity score: | 0.609 | 3 | v_reg | 744 |
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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: @LoganPaul You share your jolly cheerful character that it makes so unique:)
Intensity score: | 0.617 | 4 | v_reg | 745 |
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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 "@MrLeBrun 0 for the summer #irony #totallyrossome #rulebreaker". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.323 | 6 | v_reg | 746 |
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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: Of course Molina #bitter
Intensity score: | 0.274 | 2 | v_reg | 747 |
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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 see where Farrah gets her rudeness from. Her mother was as horrible to Dr Drew tonight as she was. These women need help #TeenMomOG | 0.320 | 9 | v_reg | 748 |
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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: Well played radio station. Playing the song 'Total Eclipse of the Heart' at the start of the eclipse! #Eclipse #brilliant
Intensity score: | 0.733 | 0 | v_reg | 749 |
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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 think I have anger issues π
Intensity score: | 0.200 | 1 | v_reg | 750 |
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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: @saffronieee thnx fan π
Intensity score: | 0.726 | 3 | v_reg | 751 |
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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: #good #truth #Jesus #truth Psalms 103:8 The Lord is merciful and loving, slow to become angry and full of constant love. | 0.750 | 5 | v_reg | 752 |
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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 "'Is it that funny to you when someone's sad? In that case, I'll beat you 'till you won't even be able to crack a smile!'". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.420 | 6 | v_reg | 753 |
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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: @s_navroop Bholenath ne apna Gussa toh nikaalna hai. Either the government helps take out Terrorism and do HIS work, Or the wrath is on GOVT
Intensity score: | 0.403 | 0 | v_reg | 754 |
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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: .@AlistairBurtUK states that DfiD is working hard to ensure Palestine isn't funding terrorism #FCOQs
Intensity score: | 0.445 | 2 | v_reg | 755 |
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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: That person that #TalksTooMuch it becomes fucking #frustrating & you get #mad but u have to pretend ur interested cos ur a nice person | 0.274 | 9 | v_reg | 756 |
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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: Miss Sylvester wants to see you in her office, Mr. Schue. She doesn't like to be kept waiting. #glee
Intensity score: | 0.323 | 1 | v_reg | 757 |
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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 "@PrisUY Good point if let's say the Argentinian police would do 1/100 what they are doing we would see a lot of outrage by certain people.". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.422 | 7 | v_reg | 758 |
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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 "@England_Netball @NetballSW Please vote for the South West nominees to give us a chance #humbled #southwestnetballfamily". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.547 | 6 | v_reg | 759 |
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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 "@djsantero I'm feeling bad for the family dog. #nightmare". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.207 | 7 | v_reg | 760 |
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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 "Happy birthday to me π no I'm not lucky I'm blessed yes π". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.931 | 6 | v_reg | 761 |
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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 "@BugsySeigal been reading your Twitter this lunchtime... you're very angry aren't you ππ". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.500 | 7 | v_reg | 762 |
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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 "@Creative_Voices @ScotParl Happy to help :-)" 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. | 0.583 | 8 | v_reg | 763 |
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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 "Oklahoma, South Carolina, Idaho, and Louisiana I'll see you this fall π #excitement". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.933 | 6 | v_reg | 764 |
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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: When you tell your boyfriend you want a pot bellied pig and he replies with 'I've already got one' and points at you...π©π·π· | 0.200 | 9 | v_reg | 765 |
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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 "Instead of asking #blessing from GOD the Father, remain #engaged on #pilgrimage of remembrance. Never get #tired on spiritual pilgrimage.". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.532 | 7 | v_reg | 766 |
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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: @blonderella26 @Seahawksfan7777 @Shitlery @afern_alex @eugenegu @tonyposnanski @realDonaldTrump She's getting mad just like we like it π€£ | 0.516 | 9 | v_reg | 767 |