instruction
stringclasses 50
values | input
stringlengths 32
202
| output
stringlengths 0
55
|
|---|---|---|
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity. | Tweet: @iStoleFreeHugs @stephlaris lol I'm happy with my negative, realistic ass self. Sorry to offend you
Emotion: anger
Intensity score: | 0.438 |
Task: Classify the tweet into one of seven ordinal classes, corresponding to various levels of positive and negative sentiment intensity, that best represents the mental state of the tweeter. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: @kymwhitley hello Miss Lady I'm sure today brings you happiness and laughter use your voice also to make us laugh god knows we need it
Intensity class: | 1: slightly positive emotional state can be inferred |
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity. | Tweet: @BurmanAJ @AMANDAZUCKERMAN I'd rather see KYLE from bbcan play again and THAT is saying something #awful
Emotion: fear
Intensity score: | 0.438 |
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: White people irritate me.
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state. | Tweet: A lifetime of laughter at the expense of the death of a bachelor
This tweet contains emotions: | joy, optimism |
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: @destaneex @ProSyndicate @EGX oh don't panic he's gonna be there
This tweet contains emotions: | fear |
Task: Place the tweet into a specific ordinal class, which captures the tweeter's mental state by considering different levels of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: 8. sweater weather - the neighbourhood\ngirls/girls/boys - panic! at the disco
Intensity class: | 0: neutral or mixed emotional state can be inferred |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity. | Tweet: Oi @THEWIGGYMESS you've absolutely fucking killed me.. 30 mins later im still crying with laughter.. Grindah.. Grindah... 🤓 hahahahahahaha
Emotion: joy
Intensity score: | 0.846 |
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive). | Tweet: Trying to loveee somebody, just wanna love somebody right now, guess there's just no pleasing me
Intensity score: | 0.426 |
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state. | Tweet: Like he really just fucking asked me that.
This tweet contains emotions: | anger, disgust, pessimism |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Good morning joyful people. Choose happiness to have a great day today #morning #happiness #grandmercurejktkemayoran
Emotion: joy
Intensity score: | 0.720 |
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @thomeagle Just to help maintain and boost our status as a world class centre for education, culture and tolerance. #outrage
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity. | Tweet: It's been a week of awful connectivity with @TMobile no service or only 4G is not what Im paying for. #unhappy #poorservice
Emotion: sadness
Intensity score: | 0.870 |
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity. | Tweet: @KhaleesiofFood @BB_Updates she has stayed off the block almost all season, got out people that were good for her game, but no one seemed
Emotion: sadness
Intensity score: | 0.333 |
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @annafifield @washingtonpost all hands on deck at the post and in the msm as trump starts to lead in oh, fla, NC, NV, CO. #panic
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state. | Tweet: This nigga doesn't even look for his real family 🙄😂
This tweet contains emotions: | disgust, sadness, surprise |
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Awareness of time is awareness of time lost. #awareness #time
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: I told my chiropractor 'I'm here for a good time not a long time' when he questioned my habits and yet again I have unnerved a doctor
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Time to go hit up the library - I have a lovely PILE of book reservations to collect this morning... #books #reading
Emotion: joy
Intensity class: | 1: low amount of joy can be inferred |
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @HillaryClinton #Hypocritical considering the #MiLLiONS of dollars you and @billclinton took from #horrible people and spent on yourselves.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity. | Tweet: I can't mourn Kid Cudi cause we have Travis Scott...
Emotion: sadness
Intensity score: | 0.229 |
Task: Determine the appropriate ordinal classification for the tweet, reflecting the tweeter's mental state based on the magnitude of positive and negative sentiment intensity conveyed. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: @TheGoatShow @GameGrumps now that I have been sucked into this wormhole of hilarity with no escape, I can say how weird and accurate this is
Intensity class: | 0: neutral or mixed emotional state can be inferred |
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @leepg \n\nLike a rabid dog I pulled out the backs of my cupboards looking for a bakewell..Found a french fancie & a mini batternburg #Winner!
Emotion: anger
Intensity class: | 0: no anger can be inferred |
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state. | Tweet: If I could turn anxiety off--I would. #nooneunderstands #anxiety
This tweet contains emotions: | fear |
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @aIakazamjackass been better. It's really stupid don't worry
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @MannyM83 @DareToReagan oh yeah. I HATE the air raid and I don't like the Oregon/Baylor offense and I'm not a fan of the ole miss one either
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity. | Tweet: That's fucking horrific defending from Schalke
Emotion: fear
Intensity score: | 0.562 |
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state. | Tweet: Knowing I have my hair to wash and dry is like knowing you had that English close reading in your school bag to do #dread
This tweet contains emotions: | anger, disgust, fear, sadness |
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind. | Tweet: Well stock finished & listed, living room moved around, new editing done & fitted in a visit to the in-laws. #productivityatitsfinest
This tweet contains emotions: | anticipation, joy, optimism |
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. | Tweet: If u know anything about football help me out here, who should I start
Emotion: fear
Intensity score: | 0.292 |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @Hayles_101 The three R's depress me.
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind. | Tweet: #GetSmartWithARQ is a smart way to start investing and #whiteicenetwork is smart source 2 #start #skilled #manpower #recruitment for ur firm
This tweet contains emotions: | anticipation, joy, optimism, surprise |
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive). | Tweet: Oi @THEWIGGYMESS you've absolutely fucking killed me.. 30 mins later im still crying with laughter.. Grindah.. Grindah... 🤓 hahahahahahaha
Intensity score: | 0.879 |
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity. | Tweet: i is sad
Emotion: sadness
Intensity score: | 0.729 |
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet. | Tweet: #Violence doesn't fix violence. #pain and #anger are the same reaction in the brain. Cure the pain and the anger will go away.
Emotion: anger
Intensity score: | 0.417 |
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive). | Tweet: Hate being sober so I popped two
Intensity score: | 0.333 |
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind. | Tweet: Ladies and gentlemen\nAfter the tremendous success of #PanamaLeaks\nNow presenting #BahamasLeaks 😂
This tweet contains emotions: | anticipation, joy, optimism |
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind. | Tweet: @deodevine6 i can't bully you and niall impossible😙
This tweet contains emotions: | anger, anticipation, disgust |
Task: Assess the intensity of sentiment or valence in the tweet, representing the tweeter's mental state with a real-valued score between 0 (extremely negative) and 1 (extremely positive). | Tweet: @markoheight @Cassie_OB we sound like vampires saying we wanna sink our teeth into the TT lads and their talents 😂😂😂😂😂😂
Intensity score: | 0.672 |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: So my Indian Uber driver just called someone the N word. If I wasn't in a moving vehicle I'd have jumped out #disgusted #offended
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @F1abraham holy shit...what the hell happened to your lips!! Fix that shit! #mtv #teenmom #horrible
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: @StarklyDark 'Come here. Come on. Into my arms. I'm not going anywhere, Tony, I swear.' Steve told him, quiet and solemn.
This tweet contains emotions: | |
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity. | Tweet: In addition to fiction, wish me luck on my research paper this semester. 15-20 pages, oh boy.
Emotion: fear
Intensity score: | 0.540 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: @SalmonDelicious @bigdickkishibae I lost it at 18. Like, really not a big deal. Don't worry about trivial shit like that.
Emotion: fear
Intensity score: | 0.292 |
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @mediacrooks @thenewshour @LodhiMaleeha @ndtv @IndiaToday This is hilarious ! Not a Freudian slip, eh !
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet. | Tweet: Can't wait to be in my Ninja turtle costume raging at OSU again this Halloween 😈
Emotion: anger
Intensity score: | 0.375 |
Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: Some People hate nothing more than a happy confident person. Never mind #confident
This tweet contains emotions: | joy, optimism |
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @ArcadianLuthier -- taking out his feelings on Kei unfairly. His lips form a frown as he tries to walk away.
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @girlsreallyrule Both Trump + King are relentless self-promoters who don't give a rip about anyone else. A perfect match for both Donalds.
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state. | Tweet: #2 complained then while his head and then called do not despair of God's mercy if you did sins go back to him and ask his forgiveness
This tweet contains emotions: | optimism |
Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: Hi Luke hemmings\n\n💐🌸💐\n\nIf I had a flower for every time you made me smile, I'd have a garden. Please follow me? \n\n💐🌸💐\nI love you. x16,092
This tweet contains emotions: | joy, love, optimism |
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity. | Tweet: @tariqmateen but sadly he missed some crucial and important points. Indian terrorism in pk, kal Boshan, etc.. Raw involvement
Emotion: sadness
Intensity score: | 0.563 |
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: ya girl is
Emotion: anger
Intensity class: | 0: no anger can be inferred |
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state. | Tweet: Aidy: *has a physics question*\nAidy: '... ok, I'm not gonna ask Tristan cause I don't wanna aggravate her'
This tweet contains emotions: | anger, anticipation, disgust |
Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state. | Tweet: @BosNaud so scared to ruffle feathers, he resorted to writing in cryptic code. #UncleCamsCabin
This tweet contains emotions: | disgust, fear, sadness |
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @NaziaMemon01 yeah a terror packed terror supported speech..
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: #happiness #recipe: an open mind, #laughter, a kind #heart & #optimism
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity. | Tweet: Anger that you are willing to take out on people & the world in general, & ALL #police, is WORST, most indefensible kind of .
Emotion: anger
Intensity score: | 0.667 |
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive). | Tweet: @Casper10666 I assure you there is no laughter, but increasing anger at the costs, and arrogance of Westminster.
Intensity score: | 0.121 |
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind. | Tweet: Nice Idea collect all relevant socialmedia in one-But dont be automatic pls #worldsapp ⬅️ #chirp #appsworld #socialmedia @DanielFeuer merci🎈
This tweet contains emotions: | joy |
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state. | Tweet: @_MrAminuddin @ejainews @_AlifH @AhmadFuadAdnan dont play with this master noob u want to win.. #serious
This tweet contains emotions: | |
Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Threat factors in respect to provocation bulb worm: BnQo
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Be content .... Life is too short.
Emotion: joy
Intensity class: | 0: no joy can be inferred |
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state. | Tweet: @kayleighmcenany @DonaldJTrumpJr Is that really all you can offer for those who sacrifice daily to keep you safe...? @kayleighmcenany #sad
This tweet contains emotions: | disgust, pessimism, sadness |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: If children live with #ridicule, they learn to feel #shy
Emotion: fear
Intensity score: | 0.479 |
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity. | Tweet: Up on melancholy hill
Emotion: sadness
Intensity score: | 0.688 |
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @Bridget_Jones was joyous. Worried I would be disappointed. Most definitely was not. #chickflick #giggles #comethefuckonbridget
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity. | Tweet: #WeirdWednesday OKAY! That jump-scared the #Poop out of me right there. Bad dog, BAD! Total code-brown in my favorite pants. #Damnit #horror
Emotion: fear
Intensity score: | 0.833 |
Task: Classify the tweet into one of seven ordinal categories, indicating the intensity of positive or negative sentiment expressed by the tweeter and reflecting their current mental state. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: And here we go again 😓 #restless
Intensity class: | -1: slightly negative emotional state can be inferred |
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. | Tweet: After she threw me out I had to sedate her. With a damn horse tranquilizer.'
Emotion: sadness
Intensity score: | 0.354 |
Task: Assess the intensity of sentiment or valence in the tweet, representing the tweeter's mental state with a real-valued score between 0 (extremely negative) and 1 (extremely positive). | Tweet: #RIP30 Heaven is rejoicing because they've gained an angel, the Keifer family are in my prayers 💙🙏
Intensity score: | 0.500 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Changing my hair again
Emotion: fear
Intensity score: | 0.292 |
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity. | Tweet: @josefcd904 @Reddou_Kun @deven_luca @supersoniclemon He also likes incurring Lily's wrath.
Emotion: anger
Intensity score: | 0.333 |
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Do not grow weary in doing good.'\n\n-@billclinton
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
Task: Determine the most suitable ordinal classification for the tweet, capturing the emotional state of the tweeter through a range of positive and negative sentiment intensity levels. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: Another grim & compelling news report by @Nawalf on the blockade of aid to the starving in #Yemen #BBC #dosomethingpoliticans
Intensity class: | -2: moderately negative emotional state can be inferred |
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind. | Tweet: Recommended reading: Prisoners of Hate by Aaron Beck #anger
This tweet contains emotions: | anger |
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive). | Tweet: People always tell me that they don't expect me to have anxiety because I'm generally cheerful and don't act the way they expect me to.
Intensity score: | 0.517 |
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. | Tweet: #AnthonyWeiner #DISTRACTION #what is really going on? #selection #election #Syria #terrorism #race #riots #GasCrisis2016 #NoDAPL #rape
Emotion: fear
Intensity score: | 0.854 |
Task: Determine the sentiment intensity or valence score of the tweet, representing the tweeter's mental state on a continuum from 0 (highly negative) to 1 (highly positive). | Tweet: @LmRyle @tomcolicchio @realDonaldTrump @HillaryClinton @ajjaffe I understand your concerns but look at her foundation contributions
Intensity score: | 0.379 |
Task: Determine the sentiment intensity or valence score of the tweet, representing the tweeter's mental state on a continuum from 0 (highly negative) to 1 (highly positive). | Tweet: @jimadair3 Guitar shop owners everywhere rejoice
Intensity score: | 0.667 |
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind. | Tweet: Another day Another flight 🙈 I swear my last ever @easyjet flight!!!! You take the LOVE out of flying #easyjet #horrific #alwaysdelayed
This tweet contains emotions: | anger, disgust |
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: @coltonflurry @StrangeFacesLA I cancelled by CBS all access live feeds before JC even said Vic won AFP. Paul.should have won IMO
This tweet contains emotions: | disgust, sadness |
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: I seriously hope these chances Celtic are missing are going to come back to haunt them with an Alloa sucker punch
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @jonnyp_43 @MedicNow like going to a so called cardiac arrest that turned out to be a cut finger! #fuming #medchat
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state. | Tweet: #quote What U #fear controls U. Fear is not out in life but in ur mind. Real difficulties can be overcome - Cheryl Janecky
This tweet contains emotions: | fear, optimism |
Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: @LucasDrakeH @realDonaldTrump @GenFlynn @RandPaul @trump2016fan terrorist attack and terrorism already exists in the history of islam.
This tweet contains emotions: | anger, disgust, fear |
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity. | Tweet: Let's get drunk and tell each other things we're afraid to say when we're sober.
Emotion: sadness
Intensity score: | 0.303 |
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state. | Tweet: Athenian: When mirth is the order of the day, he ought to be honoured most who gives most mirth to the greatest number (Laws)
This tweet contains emotions: | joy, optimism |
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind. | Tweet: Be chill af if you want to offend someone.
This tweet contains emotions: | anger, disgust, optimism |
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: i already gets aggravated too fast like why aggravate me on purpose?
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
Task: Rate the valence intensity of the tweeter's mental state expressed in the tweet, assigning it a score on a scale of 0 (most negative) to 1 (most positive). | Tweet: i just spent $40 on big little sis tomorrow and i am beyond happy about it #SAW #mums
Intensity score: | 0.883 |
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state. | Tweet: Some of these fb comments and/or tweets should make some people realize why black Americans feel the way they do 😳
This tweet contains emotions: | anger, disgust |
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: I had a dream that I dropped my iPhone 7 and it broke T_T #cry #iPhone7 #nightmare
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity. | Tweet: did you know that the sparkling letters in Super Mario Galaxy spell out U R MR GAY
Emotion: joy
Intensity score: | 0.312 |
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Fam what seems more fun for a photo booth: being able to instantly post to Twitter or having to wait till sober to see the hot mess
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity. | Tweet: @NandosSA just received order from @OrderInSA & the chips are under cooked & half raw!!! Usually best part of the meal #notcool
Emotion: fear
Intensity score: | 0.336 |
Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Today I reached 1000 subscribers on YT!! , #goodday, #thankful
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity. | Tweet: Some of these fb comments and/or tweets should make some people realize why black Americans feel the way they do 😳 #terrible
Emotion: fear
Intensity score: | 0.500 |
Task: Calculate the sentiment intensity or valence score of the tweet, which should be a real number between 0 (extremely negative) and 1 (extremely positive). | Tweet: You must be knowing #blithe means (adj.) Happy, cheerful.
Intensity score: | 0.833 |
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity. | Tweet: Absolutely fuming that some woman jumped into my prebooked taxi and drove off 😡
Emotion: anger
Intensity score: | 0.750 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.