instruction
stringlengths 127
755
| input
stringclasses 1
value | output
stringlengths 3
55
|
|---|---|---|
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: All work and no play makes Jack a dull boy
Emotion: sadness
Intensity class: | 1: low amount of sadness can be inferred |
|
Classify the emotions found in the tweet "340:892 All with weary task fordone.\nNow the wasted brands do glow,\nWhilst the scritch-owl, scritching loud,\n#AMNDBots". Select from the following: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If the tweet is emotionless, reply "neutral or no emotion". | anger, disgust |
|
Using the tweet "Right i may be an #sufc fan and the football maybe shit but marcos rojo for #mufc has had a shocking start he's just dreadful", identify any emotions from the list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If none apply, answer "neutral or no emotion". | anger, disgust, surprise |
|
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: @veroicone my typical shake is ~100g banana, 1c almond milk, 1tbsp chia and protein. Sometimes I add PB2 or ice or other fruit.
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: @Amphabio don't kill it bees are dying at an alarming rate
This tweet contains emotions: | anger, fear, sadness |
|
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: @SadiqKhan #terrorism shouldn't be a way of life in the united etates and wasn't until #islam brought it here! #IslamExposed #islambacon
This tweet contains emotions: | anger, disgust, fear |
|
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive).
Tweet: I know few will mourn the loss of Stitch's Great Escape, but...see, THIS is the kind of cost-cutting at parks I really don't care for.
Intensity score: | 0.578 |
|
Please analyze the tweet "Just like there is a right way to pray, there is a right way to give - not grudgingly or of necessity, but cheerfully. #woficc" and classify its emotional content. Choose from the following emotions: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are detected, respond with "neutral or no emotion". | joy, optimism, trust |
|
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: 🔥💁🏼- its lit having a class with you!!! Your such a great person and good at cheer!!
This tweet contains emotions: | joy, love, optimism, trust |
|
Assess the level of anger present in the following tweet: "Constantly fucking boiling and it's not ok". Provide a real number between 0 and 1, with 0 representing the least intensity and 1 representing the highest intensity. | 0.771 |
|
Analyze the tweet "Another loss to city in the cup next 🙈 😂😂 cmon united!" to classify the intensity of the emotion anger. Your options are: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred. | 0: no anger can be inferred |
|
Analyze the tweet "I'm just doing what u should b doing just minding my business and grinding relentless @LITO615" and indicate which emotions from the list (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) are expressed. If no emotions are found, answer with "neutral or no emotion". | anger, disgust |
|
Examine the tweet "@CNNPolitics I can't wait to hear what he had to say about the brilliant Dr. Hawking... it should be rich... In the poorest of taste! #bully" and determine which of these emotions are present: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If there are no identifiable emotions, reply with "neutral or no emotion". | anger, anticipation, disgust |
|
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: @drunkafzayn @vogueszap yes it's shocking how islamophobic Indias are considering how many Muslims live there
This tweet contains emotions: | anger, disgust, surprise |
|
Your task is to measure the intensity of anger in the tweet: "@PediMGHHMS3 sickle cell if right pt background. Or could be JIA or an allergic reaction to a bite e.g. bee sting among others.". Rate it on a scale from 0 (least intense) to 1 (most intense). | 0.292 |
|
Your task is to measure the intensity of fear in the tweet: "Damnnit! Gonna be 1400 pts shy on Chiefs Rewards of getting a post game photo.". Rate it on a scale from 0 (least intense) to 1 (most intense). | 0.521 |
|
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: #PeaceIsPossible when both party accept one another and rejoice together after #OndoGuber,Nov26. @JciOndokingdom @cuttie_dove @Lekibeat
Emotion: joy
Intensity class: | 1: low amount of joy can be inferred |
|
For the tweet "And thus begins my 2 week holiday! 😏😏\n #holiday #ghastinoir #rest" and the emotion joy, determine the intensity level. Your answer should be a number between 0 and 1, where 1 is the highest possible intensity. | 0.792 |
|
Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive).
Tweet: Laudrup and his evil white companions rejoice.
Intensity score: | 0.617 |
|
Please determine the intensity of the emotion fear in the tweet "This girl was shaking her drink in the break room and it wasn't fully closed and yeah it's all over the place now including me😑😑😂". Provide a score between 0 and 1, where 0 means very low intensity and 1 means very high intensity. | 0.458 |
|
For the tweet "#Talking about our #Problems is our greatest #Addiction#Break the #habitTalk about ur #Joys#quote #problemsolving #behappy", classify the intensity of the emotion joy. The possible classifications are: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred. | 1: low amount of joy can be inferred |
|
Determine the sentiment of the tweet "@nigglydz lydiaaaa, we were the only ones that were supposed to know that you make me nervous 😶" by categorizing it into one of the following emotional states: 3: very positive emotional state can be inferred, 2: moderately positive emotional state can be inferred, 1: slightly positive emotional state can be inferred, 0: neutral or mixed emotional state can be inferred, -1: slightly negative emotional state can be inferred, -2: moderately negative emotional state can be inferred, -3: very negative emotional state can be inferred. | -2: moderately negative emotional state can be inferred |
|
Determine which emotions are present in the tweet "$100 says Teufel is 'reassigned' within the organization before next year, but I wish it was sooner... #Mets #thirdbasecoach #lgm". Choose from anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are evident, state "neutral or no emotion". | anticipation, optimism |
|
Consider the emotion anger and the tweet "Well, the lines for Sweden's goals sure sting.". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.312 |
|
For the tweet "@iSmashFizzle that's me all the time. I carry ginger candy, peppermint oil and sea-bands at all times" and the emotion fear, determine the intensity level. Your answer should be a number between 0 and 1, where 1 is the highest possible intensity. | 0.354 |
|
Assess the emotional intensity of joy in the following tweet: "@SteveStratford9 @PaulTowheyJr @ClassicDrWho @BBC @bbcdoctorwho all those will get animated IMO. Companion changes/Monsters/Classics.". Answer with a number between 0 (least intense) and 1 (most intense). | 0.292 |
|
Determine which emotions are present in the tweet "@Thatguy_dree @RecklessWonder_ neither one of y'all can see me in this madden". Choose from anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are evident, state "neutral or no emotion". | anger, joy, optimism |
|
Assess the sentiment intensity of the tweet "They tend to loosen up a bit when drunk, and can seem pretty cheerful." based on the author's emotional state. Present a numerical rating between 0 and 1, with 0 being extremely negative and 1 being extremely positive. | 0.677 |
|
Analyze the tweet "@Curculiunculus @System1Politics Yep, as I pointed out before, it's the politics of loathing. That's why the big candidates are so horrible." to classify the intensity of the emotion fear. Your options are: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 0: no fear can be inferred |
|
For the tweet "Always be #cheerful, #smile often make others happy, care for others, help who feel helpless and #vulnerable. Life feels good #leadership", classify the intensity of the emotion joy. The possible classifications are: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred. | 3: high amount of joy 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: I hate having ideas but being too afraid to share them 😔
Emotion: fear
Intensity class: | 2: moderate amount of 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: @GambinoDeeJay @Linda76Graham @mikeeshy \n\nAnd also, trying to find it on Youtube is a fucking nightmare.
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: @SkySportsRL i would just get some decent referees
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
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: She began to squirm beneath @hcllbent, struggling to get out of his relentless grasp. When she realized that the attempt was useless,++
Emotion: anger
Intensity class: | 1: low amount of anger 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: @PeanutRD @MelissaJoyRD @SarahKoszykRD @eat4performance @rustnutrition @jenhaugen hey #sparkling is the word I just picked 4 my biz card
Emotion: joy
Intensity score: | 0.417 |
|
Assess the level of the emotion joy in the tweet provided. Use the following categories: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred.
Tweet: @jay_roseee but that new breezy & tiller 🔥🔥🔥🔥🔥 | 1: low amount of joy 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: What's good is that we already hit rock bottom, even though I'm about two more seasons away from new depths of despair. #playoffs? #NJDevils
This tweet contains emotions: | fear, sadness |
|
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: You ever just be really irritated with someone u love it's like god damn ur makin me angry but I love u so I forgive u but I'm angry
Emotion: anger
Intensity score: | 0.667 |
|
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: @Nataliem55 sadly, war has often been the factor that jump starts US economic growth
This tweet contains emotions: | sadness |
|
Analyze the tweet "Your future is bright. #Remember" and indicate which emotions from the list (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) are expressed. If no emotions are found, answer with "neutral or no emotion". | joy, optimism |
|
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: @bodwell_james did it not just enliven your soul
Intensity score: | 0.532 |
|
Determine the valence intensity of the tweeter's emotional state conveyed in the tweet "Doesn't it just suck when you're so real to someone and try to exhilarate every ounce out of them to only see that they're not down". Offer a numerical score between 0 and 1, where 1 represents very positive and 0 represents very negative sentiment. | 0.290 |
|
Given the tweet "@DSDambuster just finally started #homefronttherevolution, what did you all do the story and gameplay??? #terrible #wasteofmoney", identify any present emotions from this list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If none are present, answer "neutral or no emotion". | anger, disgust |
|
Read the tweet "@NFYFC @Wilkster_ hmm, don't know many yf who are short on confidence! Wish I'd been one," and determine the level of fear present. Select from these options: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 0: no fear can be inferred |
|
Evaluate the valence intensity of the following tweet, considering the mood of the tweeter. Provide a score between 0 and 1, where 0 indicates very negative and 1 indicates very positive.
Tweet: Super shitting it about this tattoo #nervous | 0.344 |
|
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 emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: When's it all finished, you will discover that it was never random! #thoughts #CrossoverLife
Intensity class: | 0: neutral or mixed emotional state can be inferred |
|
Given the emotion joy and the tweet "@crumpledlinen he chirp", rate the intensity of joy shown. The rating scale is: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred. | 0: no joy can be inferred |
|
Please analyze the tweet "What the fuck am I supposed to do with no lunch, no dinner, no money and I'm off to work #furious #hangry #day5" and classify its emotional content. Choose from the following emotions: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are detected, respond with "neutral or no emotion". | anger, disgust, sadness |
|
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: @soyoprincess they irritate me. Them and their inch thick made up masks
This tweet contains emotions: | anger, disgust |
|
For the tweet "@GOT7Official @jrjyp happy birthday jin young!!!!!! #PrinceJinyoungDay #happyjinyoungday #got7 #happy #birthday" and the emotion joy, determine the intensity level. Your answer should be a number between 0 and 1, where 1 is the highest possible intensity. | 0.688 |
|
Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive).
Tweet: A warm #smile is the universal language of kindness William Arthur Ward #love #kindness
Intensity score: | 0.625 |
|
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: Oh I get i see it's #TexasTech playing tonight not the #Texans #TNF #texansarebad #terrible
Emotion: fear
Intensity score: | 0.354 |
|
Assess the level of joy present in the following tweet: "@Myahrissavietta I'm cheery now 😘😉". Provide a real number between 0 and 1, with 0 representing the least intensity and 1 representing the highest intensity. | 0.760 |
|
Read the tweet "In other news. My legs hurt. #running #5kin26mins #flatfeet" and determine the level of fear present. Select from these options: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 0: no fear can be inferred |
|
Provide a quantitative evaluation of the sentiment in the tweet "@BrianaBanksxoxo I send ya a few #playful nibbles 😉". Offer a score from 0 to 1, with 1 representing very positive and 0 representing very negative. | 0.679 |
|
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: Shanghais chief distracting levity pampa - proper dingle carry away: uUDQujcia
Emotion: joy
Intensity score: | 0.180 |
|
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 envy the relentless, your cheerful smile aimed at the pouring rain, your positive attitude is an art you have continually mastered.
Emotion: joy
Intensity score: | 0.519 |
|
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: @NGilbert92 @_c0urtknee_ haha it's me, shocking I know 😂 you'll hear me moan I'm too cold in winter ⛄️
This tweet contains emotions: | joy, optimism, surprise |
|
For the tweet "@Hannahcolleen06 I have 12 & that's the only one I didn't like 😂 mine comes out patchy. It's the only dark color by her I have tho." and the emotion sadness, determine the intensity level. Your answer should be a number between 0 and 1, where 1 is the highest possible intensity. | 0.312 |
|
Assess the emotional intensity of fear in the following tweet: "Multitasking .... I may have to induce these seeds of mine to sleep. #restless". Answer with a number between 0 (least intense) and 1 (most intense). | 0.521 |
|
For the tweet "Fucking hell. Rush for the damn train also no use. Fucking 4min wait. Still sweating. #rage #smrtruinslives" and the emotion anger, determine the intensity level. Your answer should be a number between 0 and 1, where 1 is the highest possible intensity. | 0.917 |
|
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: @Slippus @PureGym yeah I received a fine today which I am furious about, currently appealing it after being a member for so long...
This tweet contains emotions: | anger, disgust, pessimism |
|
Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive).
Tweet: Tutoring gives me such an exhilarating feeling. I love helping people 😌
Intensity score: | 0.790 |
|
Given the tweet "There's this Bpharm4 guy Eish that guy brings anger into my life. When I see him nje like darkness fills me @RamatsobaneM will know" and the emotion anger, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level. | 0.667 |
|
Using a scale from 0 (no intensity) to 1 (maximum intensity), evaluate how strongly anger is expressed in this tweet: "Like he really just fucking asked me that. #offended". | 0.750 |
|
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: It is a solemn thing, and no small scandal in the Kingdom, to see God’s children starving while seated at the Father’s table. -AW Tozer
This tweet contains emotions: | anger, disgust, pessimism, 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: my boyfriend once forcibly stopped all of my anxiety coping methods at once (holding me, forcing my hands down that kinda stuff) and I --
Emotion: fear
Intensity class: | 2: moderate amount of fear 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: Ready for my sweet princess to arrive. I'll he 37 weeks this Saturday! #excited #nervous
Emotion: fear
Intensity score: | 0.352 |
|
For the tweet "Your #smile is a messenger of your good will.", classify the intensity of the emotion joy. The possible classifications are: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred. | 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: What the fuck am I supposed to do with no lunch, no dinner, no money and I'm off to work #hangry #day5
Emotion: anger
Intensity score: | 0.729 |
|
Given the tweet "@Nataliem55 sadly, war has often been the factor that jump starts US economic growth" and the emotion sadness, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level. | 0.479 |
|
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: @FoxNews @SheriffClarke @FoxNewsInsider This man is an affront to our justice system.
Emotion: anger
Intensity class: | 3: high amount of anger 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: @F1abraham holy shit...what the hell happened to your lips!! Fix that shit! #mtv #teenmom #horrible
Emotion: fear
Intensity score: | 0.479 |
|
Task: Assign the tweet to a specific ordinal class that corresponds to the tweeter's mental state, considering various levels of positive and negative sentiment intensity. 3: very positive emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: I swear if @devincameron23 blocks me I'm going to hit her back
Intensity class: | -3: very negative emotional state can be inferred |
|
Assess the level of joy present in the following tweet: "Sometimes I watch shitty tv to reinforce never giving up cuz if something is that fucking awful on tv, I still stand a chance. #optimism". Provide a real number between 0 and 1, with 0 representing the least intensity and 1 representing the highest intensity. | 0.104 |
|
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: @LonelyGoomba UK cops have an issue fearing intervention. Hence situations like Rotherham. So of course it'll be dwarfed by US cops.
Emotion: fear
Intensity score: | 0.562 |
|
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: @soboleskih Okay this is hilarious
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
|
Using the tweet "Leon's cheerfulness is always a big help.", identify any emotions from the list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If none apply, answer "neutral or no emotion". | joy, love, optimism, trust |
|
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 2016, Black people are STILL fighting to be recognized as human beings. #cantsleep
Emotion: anger
Intensity score: | 0.646 |
|
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: STAY JADED everyone is #terrible
Emotion: fear
Intensity score: | 0.417 |
|
Please analyze the tweet "Something about these cool, breezy fall days.. 😍🍂🌾🍁" and classify its emotional content. Choose from the following emotions: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are detected, respond with "neutral or no emotion". | joy, love, optimism |
|
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: @Justin_Gau @JamesMelville You certainly wouldn't catch me with the multitude.
Emotion: fear
Intensity score: | 0.375 |
|
Assess the emotional intensity of fear in the following tweet: "It's simple I get after two shots of espresso 'Grande, decaf, 130 degrees soy americano with extra foam' #barista". Answer with a number between 0 (least intense) and 1 (most intense). | 0.125 |
|
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: Wishing the Ipswich Tigers good luck in their games throughout homecoming week!! We are cheering you on here at the City Office! GO TIGERS!
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
|
Analyze the tweet "I need to learn to be in one place at one time and try not to worry about everything all at once" to classify the intensity of the emotion fear. Your options are: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 1: low amount of fear can be inferred |
|
Given the tweet: "I just really enjoy bright colors, like the colors you would see downtown Miami" and the emotion: joy, rate the intensity of this emotion on a scale from 0 to 1, where 0 indicates no intensity and 1 indicates maximum intensity. | 0.729 |
|
For the tweet "@Slippus @PureGym yeah I received a fine today which I am furious about, currently appealing it after being a member for so long..." and the emotion anger, determine the intensity level. Your answer should be a number between 0 and 1, where 1 is the highest possible intensity. | 0.646 |
|
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: A Lysol can got stuck in spray position and we're all slowly suffocating from the trash can that smells like a Febreeze factory. #panic
Emotion: fear
Intensity class: | 2: moderate amount of fear 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: @Fly_Norwegian quite simply the #worst #airline #worstairline I've ever used! #shocking #appauling #dire #dismal #beyondajoke #useless
Emotion: sadness
Intensity score: | 0.667 |
|
Determine which emotions are present in the tweet "Tomorrow is the day I cut and dye my hair! 😳 #excited". Choose from anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are evident, state "neutral or no emotion". | 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: Who the hell is drilling outside my house?! Literally got to sleep at half four after a busy shift and these twats have woken me up
Emotion: anger
Intensity score: | 0.976 |
|
Read the tweet "Every dancers dream song #worldpower" and determine the level of anger present. Select from these options: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred. | 0: no anger can be inferred |
|
Please determine the intensity of the emotion fear in the tweet "@JamesPiotr I am working on a feature right now about the preponderance of awful owners who are at war with fans. So many to choose from.". Provide a score between 0 and 1, where 0 means very low intensity and 1 means very high intensity. | 0.354 |
|
Given the tweet: "Having a terrific Tuesday? Crush it today with the Power of 4. Treat your internet like Pizza =D \n#PowerOf4" and the emotion: fear, rate the intensity of this emotion on a scale from 0 to 1, where 0 indicates no intensity and 1 indicates maximum intensity. | 0.250 |
|
Your task is to measure the intensity of joy in the tweet: "My ukulele bag has fallen apart. 😐 WELLL AT LEAST my life hasn't yet!! #optimism". Rate it on a scale from 0 (least intense) to 1 (most intense). | 0.208 |
|
For the tweet "Tweeting from the sporadic wifi on the tube #perilous", assess the intensity of the emotion fear. Choose one of the following: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 0: no fear can be inferred |
|
Your task is to measure the intensity of fear in the tweet: "my boyfriend once forcibly stopped all of my anxiety coping methods at once (holding me, forcing my hands down that kinda stuff) and I --". Rate it on a scale from 0 (least intense) to 1 (most intense). | 0.740 |
|
Determine how strongly joy is expressed in the following tweet. Use the scale: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred.
Tweet: @ardit_haliti I'm so gutted. I loved her cheery disposition. | 1: low amount of joy can be inferred |
|
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: @bt_uk why does tracking show my equipment delivered, when it wasn't? Why is my service suddenly delayed? We've already 3 weeks.
This tweet contains emotions: | anger, disgust, sadness |
|
Please analyze the tweet "To tell the truth and make someone cry is better than to tell a lie and make someone smile. #truth #lie #cry #offalonehugots" and classify its emotional content. Choose from the following emotions: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are detected, respond with "neutral or no emotion". | joy, optimism, sadness |
End of preview. Expand
in Dataset Viewer.
Citation Information
Liu, Z., Yang, K., Xie, Q., Zhang, T., & Ananiadou, S. (2024, August). Emollms: A series of emotional large language models and annotation tools
for comprehensive affective analysis. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 5487-5496).
- Downloads last month
- 35