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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: Dean Fujioka's History Maker is on Spotify as well as Breaking Benjamin's Dear Agony. #amazing #wonderful #iloveyouspotify #noonecaresbutido
Intensity score: | 0.774 | 3 | v_reg | 168 |
|
In the following section, there 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 "Just seen recent pics of Liz Hurley in swimming costume , she looks amazing 😍 #beauty". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.793 | 6 | v_reg | 169 |
|
In the following section, there 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: @LadyScully I didn't. We all went out and got pissed down the local instead. 😄
Intensity score: | 0.569 | 2 | v_reg | 170 |
|
In the following section, there 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 have so many things to look forward to ☺️ #positive #lifeisgood
Intensity score: | 0.857 | 2 | v_reg | 171 |
|
In the following section, there 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: @PearlJam YES!!! Love it!!! 💞💞💞🎶🎶🎶🎥⚾⚾⚾👏👏👏 #thankyou #awesomeness
Intensity score: | 0.750 | 3 | v_reg | 172 |
|
In the following section, there 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: Don't be discouraged.
Intensity score: | 0.500 | 0 | v_reg | 173 |
|
In the following section, there 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: @ahaf21 Maaaan... Fox & The Hound ain't no joke. Also, Pinocchio is got damned terrifying. Legit horror film. | 0.371 | 5 | v_reg | 174 |
|
In the following section, there 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: @trevschan2 when is fear going to get a truly badass villain? Madison isn't a villan to us. I'm cheering for the Clarks! Lol | 0.640 | 9 | v_reg | 175 |
|
In the following section, there 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: @Girlpower1960 @tomshattuck @realDonaldTrump Oh whoops! Sorry! 😅
Intensity score: | 0.550 | 2 | v_reg | 176 |
|
In the following section, there 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: @sonnuaen @somithehoney DONT WORRY YOU JUST NEED TO GUESS KOROS DRAWING :D | 0.516 | 9 | v_reg | 177 |
|
In the following section, there 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 "Working with alergies is the most miserable shit in the world #miserable #alergies" 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. | 0.041 | 8 | v_reg | 178 |
|
In the following section, there 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 "Goddamn fucking piece of shit panic attacks...". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.130 | 7 | v_reg | 179 |
|
In the following section, there 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 "@iamjannn And life is a nightmare" 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. | 0.200 | 8 | v_reg | 180 |
|
In the following section, there 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 more Russia stuff I watch, the more I think Clinton was setting Trump up for a legal attack after she was Prez.
Intensity score: | 0.403 | 4 | v_reg | 181 |
|
In the following section, there 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 "Y'all hate anything y'all not apart of or don't understand.. #miserable" 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 | 182 |
|
In the following section, there 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 only things I tweet about is chickfila and birds #ironic | 0.500 | 5 | v_reg | 183 |
|
In the following section, there 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: - Due to the historically long bond between dogs and humans, dogs have evolved to understand human laughter. #FeelAlive
Intensity score: | 0.759 | 2 | v_reg | 184 |
|
In the following section, there 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: When I chirp, shawty, chirp back.
Intensity score: | 0.516 | 3 | v_reg | 185 |
|
In the following section, there 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 "Do what makes you happy, be with who makes you smile, laugh as much as you breathe, and love as long as you live! #f4f". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.783 | 7 | v_reg | 186 |
|
In the following section, there 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 "Hello.. I need Some Grumpy Cat Leggings A.s.a.p. Mmmkay😂😍 #adorable #cute #infj" 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. | 0.750 | 8 | v_reg | 187 |
|
In the following section, there 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: @skottk @JesseAlderson I'm basically throwing the kitchen sink at this one. | 0.345 | 5 | v_reg | 188 |
|
In the following section, there 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: Why do Liberal Americans spend so much time crying? And when they aren't crying they're burning the US flag or protesting! Embarrassing!😲😲🤧🤧
Intensity score: | 0.268 | 2 | v_reg | 189 |
|
In the following section, there 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 "#Eclipe2017 An eclipse carries a large jolt of #energy. This one cut a wide swath across the United States. #Change #excitement #transition" 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. | 0.783 | 8 | v_reg | 190 |
|
In the following section, there 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: Spread smiles around everywhere you go\n#spreadingsmiles #smiles #healtyliving #LaughOutLoud #happinessallaround | 0.823 | 9 | v_reg | 191 |
|
In the following section, there 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 "had noodles for tea\nyummmmmmy\n#yum #yummy #ddlg #abdl #chgl #noodles". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.677 | 7 | v_reg | 192 |
|
In the following section, there 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: @sundarpichai @Google Since when did someone break #chromecast for ALL MacBooks? PLS -We #despair at days wasted trying 2 make it work again | 0.304 | 5 | v_reg | 193 |
|
In the following section, there 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 "really wanna dye me hair a bright colour but iv spent all this time growing the dye out" 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. | 0.344 | 8 | v_reg | 194 |
|
In the following section, there 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: @CPC_HQ Immature...and Trumpy. Sad one guys😕 Does this represent the intelligence and moral depth of CPC ? #bully #notinmycanada
Intensity score: | 0.107 | 1 | v_reg | 195 |
|
In the following section, there 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: Cleaning my coffee wear with decanter balls is so therapeutic. #sparkling
Intensity score: | 0.565 | 2 | v_reg | 196 |
|
In the following section, there 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: @SatisfyingTaste @TheAnimalVines I used to make the peanut butter energy balls all the time. My famjam loved them! #recipes #yummy
Intensity score: | 0.655 | 2 | v_reg | 197 |
|
In the following section, there 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 "@republic Inside job so modi can show more tantrums". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.403 | 7 | v_reg | 198 |
|
In the following section, there 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: @CNN @cnnbrk what is the #FakeNews of the day? Need my #laughter to start my day. @foxandfriends @realDonaldTrump @kilmeade @PeteHegseth
Intensity score: | 0.767 | 3 | v_reg | 199 |
|
In the following section, there 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 "Uncharted 4 on Crushing is the least fun I've ever ha splaying a video game". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.422 | 6 | v_reg | 200 |
|
In the following section, there 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: Nearly 12 o'clock and we are here listening to music and my girlie is making me howl with her dancing #oldtunes #daughter #laughs #memories
Intensity score: | 0.903 | 1 | v_reg | 201 |
|
In the following section, there 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 "@h258_laura @leiafrater I don't like horror movies, leave me alone". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.241 | 6 | v_reg | 202 |
|
In the following section, there 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: @neiltyson my BF and I just rewatched the episode of #GravityFalls you were and he's fanboying #YeahScience
Intensity score: | 0.629 | 4 | v_reg | 203 |
|
In the following section, there 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: Longing to see Your face, Christ Jesus, I rejoice in the anticipation of Your coming again!
Intensity score: | 0.726 | 4 | v_reg | 204 |
|
In the following section, there 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 MIGHT BE TRYING TO FILL THE VOID IN YOUR #HEART WITH ALL SORTS OF THINGS BUT THAT PLACE BELONGS TO JESUS CHRIST #music #worry #love #SMM | 0.583 | 5 | v_reg | 205 |
|
In the following section, there 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: More shocking news: old people do not understand electronic correspondence. #sarcasm #TrumpJr #emails #russia #fail #hillaryEmails #trump
Intensity score: | 0.400 | 2 | v_reg | 206 |
|
In the following section, there 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: @3gerardpique Your club is a laughing stock #irony @ziadzimmo @AlmightyTeemo97 @abbasskills
Intensity score: | 0.333 | 4 | v_reg | 207 |
|
In the following section, there 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: @BradMossEsq Careful, your humility is showing. #sarcasm
Intensity score: | 0.600 | 2 | v_reg | 208 |
|
In the following section, there 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: #good to learning #wisdom << reform (v): make in order to improve something >>
Intensity score: | 0.655 | 1 | v_reg | 209 |
|
In the following section, there 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 "Williams Lake on evacuation alert as fires rage near the city of 10,000+. Developments from overnight + forecast - 5am @GlobalBCMorning". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.391 | 7 | v_reg | 210 |
|
In the following section, there 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: What a day!!! What a month!!! #solucky #blessed #cloud9 #ecstatic 👰😆🚘💞 | 0.900 | 5 | v_reg | 211 |
|
In the following section, there 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'm an Indians fan so, I hate Joe Buck. Im glad he looks old af now. 😂 #bitter #AllStarGame". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.435 | 6 | v_reg | 212 |
|
In the following section, there 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 "Jordan is helping Arya hunt a moth, lifting her up to get it on the walls. it's super adorable. #kitten #boyfriend #adorable #hunting". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.828 | 7 | v_reg | 213 |
|
In the following section, there 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: better care about yourself than about others because others wont care about you #lonely #sad #depressed
Intensity score: | 0.113 | 4 | v_reg | 214 |
|
In the following section, there 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: @Guerrilla I wished.. 😭
Intensity score: | 0.467 | 4 | v_reg | 215 |
|
In the following section, there 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: @piersmorgan the defender of no competition, really wanted to win that argument #ironic
Intensity score: | 0.400 | 4 | v_reg | 216 |
|
In the following section, there 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 "@PSHalabi what are the current statistics concerning 'backdoor abortions'. If alarming, what preemptive measures are in place?" 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. | 0.516 | 8 | v_reg | 217 |
|
In the following section, there 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: There are parts of you that wants the sadness. Find them out, ask them why
Intensity score: | 0.242 | 3 | v_reg | 218 |
|
In the following section, there 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: 'Believe me: seasons change. Feelings fade. Life goes on. Do me a favor: endure the late night rage of emotions. (1/2)
Intensity score: | 0.357 | 0 | v_reg | 219 |
|
In the following section, there 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 just love it when my boss tells me to do something I'm already doing🙄🤷🏽♀️ #sarcastic #donttellmehowtodomyjob" 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. | 0.393 | 8 | v_reg | 220 |
|
In the following section, there 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: Horny. Anyone? #horny #bi #sex #london #snapchat #gaysnap #hornysnap #snapchatgay #snapchathorny #gaysnapchat #hornysnapchat #snapgay #snap | 0.467 | 9 | v_reg | 221 |
|
In the following section, there 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: @shelby_Billsfan @buffalobills They kinda hafta be these days. #bleak 😬
Intensity score: | 0.267 | 3 | v_reg | 222 |
|
In the following section, there 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 head is anointed, my cup runneth over Don't pour from an empty cup #delight #love #joy
Intensity score: | 0.726 | 2 | v_reg | 223 |
|
In the following section, there 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 "@nickjonas is coming for DePaul's welcome week and I'll be in Cali 🙄🙄🙄🙄🙄🙄🙄🙄🙄🙄🙄🙄🙄🙄🙄🙄 #pissed". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.150 | 7 | v_reg | 224 |
|
In the following section, there 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: Joker's job is to make public smile & not spread hatred by d way. @Ra_Bies | 0.500 | 9 | v_reg | 225 |
|
In the following section, there 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: Mother of two is texting and driving with a 'baby onboard' sticker in the back window #irony
Intensity score: | 0.422 | 1 | v_reg | 226 |
|
In the following section, there 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: happy birthday to anne ! we wish her all the best and hope she's having a wonderful day
Intensity score: | 0.821 | 4 | v_reg | 227 |
|
In the following section, there 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 "Full of #optimism after the FP Summit yesterday. Thanks to @melindagates @FP2020Global @UNFPA and @DFID_UK we're thinking about #HerFuture". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.823 | 7 | v_reg | 228 |
|
In the following section, there 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 love the rainy days, but I hate it at the same time since the road is wet and you have take good care of your shoes. The #irony 😂😱 | 0.500 | 9 | v_reg | 229 |
|
In the following section, there 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: No honestly nothing's more attractive than when boys act the hard man in front of their friends😩😩 #sarcasm
Intensity score: | 0.422 | 0 | v_reg | 230 |
|
In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: I've developed a new philosophy... I only #dread one day at a time.
Intensity score: | 0.417 | 2 | v_reg | 231 |
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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 "Whoever decided to put chat functions on company websites for customer service deserves all the medals. I hate talking on the phone". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.360 | 6 | v_reg | 232 |
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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: @NoahWebHouse A review of my book faulted me for spending so much time on Webster's introductory front matter. But I had to, #brilliant! | 0.613 | 5 | v_reg | 233 |
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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 "@jonesy031184 Yeah I've had that, l say hopefully you'll never get it then you horrific waste of skin.". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.283 | 7 | v_reg | 234 |
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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: Summer is drawing to a close. It's been incredible. Build your life on dreams, kindness, hard work & imagination. #manifest #music
Intensity score: | 0.597 | 4 | v_reg | 235 |
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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: #smiles are great investment. The more we collect, the better we feel.. have a nice smiling day... #goodmorning
Intensity score: | 0.714 | 4 | v_reg | 236 |
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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: Gutted for #andymurray. #sadness #balls #Wimbledon2017 🎾😬🎾 | 0.219 | 9 | v_reg | 237 |
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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: Most often, we don't see around the corner. #life #love #irony
Intensity score: | 0.500 | 3 | v_reg | 238 |
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In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: my blood sugar is 399 and my anxiety is wrecking me and i have court like right now and i made us late bc im fighting w my mom #great #good
Intensity score: | 0.194 | 0 | v_reg | 239 |
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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: Don't be afraid to start. Be afraid not to start. #happiness
Intensity score: | 0.677 | 1 | v_reg | 240 |
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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 "@jennvalley14 There would be no hesitation in naming 50 other things I'd rather be doing rn" 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. | 0.357 | 8 | v_reg | 241 |
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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: Witnessed pure beauty from Ft. Lauderdale #SolarEclispe2017
Intensity score: | 0.645 | 2 | v_reg | 242 |
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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 "#Hateful , #horrible , #horrendous ... = last night's speech in summary @cnnbrk @NewDay @CNN #PhoenixProtests #PhoenixRally" 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. | 0.161 | 8 | v_reg | 243 |
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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: @sixft2blue He did air quotes, so it's ok #sarcasm
Intensity score: | 0.431 | 2 | v_reg | 244 |
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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: @pip_tp @Shot_fox Looks like the JRTs have other ideas! 😆
Intensity score: | 0.677 | 0 | v_reg | 245 |
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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: @ABCTV @AuSenate @annabelcrabb I confess I didn't watch last week. #bad Are you going to do an episode on accessibility?
Intensity score: | 0.375 | 4 | v_reg | 246 |
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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've seen some get so discouraged in their old age becos they aren't physically able 2 do the things for God they used 2 do in their youth. | 0.417 | 9 | v_reg | 247 |
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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 "@OpenreachGB Not sure why a communication company can't communicate in less than five days - ironic #poorcustomerservice #ironic". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.214 | 6 | v_reg | 248 |
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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 "@SkyNews @CNN @cnnbrk watching the #totalsolareclipse on ur channels right now #amazing what's happening in the #usa". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.768 | 7 | v_reg | 249 |
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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: #glee was my childhood
Intensity score: | 0.589 | 0 | v_reg | 250 |
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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: Genuinely and perfectly #happy
Intensity score: | 0.922 | 3 | v_reg | 251 |
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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: @YummyMummiesAU LOL 😍 This show is so funny | 0.823 | 9 | v_reg | 252 |
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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: But what about the emails??? #NotHilary #ironic #DonJr #TheEmails
Intensity score: | 0.234 | 2 | v_reg | 253 |
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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 "'You have an amazing problem here' - @sbxr has spotted a huge privacy issue for TracTAG 😱 #SharkTankAU" 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. | 0.379 | 8 | v_reg | 254 |
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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: @AdamBaldwin He left a long time ago. In fact, the Repubican party left the Repubican party a long time ago. #shocking #nonotreally
Intensity score: | 0.333 | 3 | v_reg | 255 |
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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 just read an article titled - what 12 indian men think about women's fashion choices and im so done with the internet for today. #ironic". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.655 | 6 | v_reg | 256 |
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In the following section, there is an instruction you must follow. Your answer should only contain your prediction for the given instruction, and nothing else. Here is your instruction:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "its horribly gloomy out rn and im flourishing". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.355 | 7 | v_reg | 257 |
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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: @MichaelGrantBks @BethellMarilyn @foxandfriends @realDonaldTrump You are a very bitter person.....sad!!
Intensity score: | 0.063 | 0 | v_reg | 258 |
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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: Words can't explain how thankful I am that I woke up today! It's all I need to know how blessed I truly am! #iGotAnotherDayToCreateLife 😍
Intensity score: | 0.817 | 1 | v_reg | 259 |
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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 "being an entrepreneur at 18 is a real blessing 🙏🏼 the flexibility, doing what you love, and being the one in charge is #great #blessed" 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. | 0.839 | 8 | v_reg | 260 |
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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'm so sick of that 'I'm done w. My ex na we're never getting back together' crap so You can get back together in like a month 😂 | 0.516 | 9 | v_reg | 261 |
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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 "@ThomasSanders I am having anxiety right now because I don't know it's gonna happen". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.391 | 6 | v_reg | 262 |
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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 "Lock him up! Lock him up! #irony" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative. | 0.391 | 8 | v_reg | 263 |
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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: WTF ! @JonnyBones people love you, stay off the dick pills!!! #goldensnitch | 0.481 | 5 | v_reg | 264 |
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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: @LouiseLinton just because you married money doesn't mean you have class it just means you are a high prices prostitute. #adorable | 0.419 | 9 | v_reg | 265 |
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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: No legit though this is my first ever experience and it's when I don't wear makeup so was pretty ironic tbh #giggle but no ta pal
Intensity score: | 0.578 | 3 | v_reg | 266 |
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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 "#Laughter creates a #positive #aura & transforms you into the most #beautiful , #dynamic & #attractive person. \n#Yoga #YogaLaugh". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.839 | 6 | v_reg | 267 |