instruction
stringclasses 50
values | input
stringlengths 32
202
| output
stringlengths 0
55
|
|---|---|---|
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive). | Tweet: Google caffeine-an sprightly lengthening into the corridor re seo: WgJ
Intensity score: | 0.429 |
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: I'm absolutely in love with Laurie Hernandez, she's so adorable and is always so cheerful!
This tweet contains emotions: | joy, love |
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: @LiamCannon1 He's just too raging to type properly... Ha ha!
This tweet contains emotions: | anger |
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: @01Starblazer 9 -9 vs Atlanta this yr, 2 - 11 vs Rockies and DBacks this yr. That's a combined 11 - 20 vs 3 atrocious teams in NL
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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: Anytime @perezed gets near a mic, someone needs to smack him w a bat. @BBTN #marblesinmouth
Emotion: fear
Intensity score: | 0.320 |
Task: Assign the tweet to one of seven ordinal classes, each representing a distinct level of positive or negative sentiment intensity, reflecting 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: @rheafraserx took them an awfy long time to spot their goal was disallowed ☺️ #pleasing
Intensity class: | 0: neutral or mixed 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: #Taurus will react angrily when she can't take being provoked any longer.
Emotion: anger
Intensity score: | 0.438 |
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: @wwcummings @USATODAY this individual is clearly trying 2 #intimidate this #LEO I see an issue here. STOP CAUSING ISSUES by pushing limits!!
Emotion: fear
Intensity class: | 1: low 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: Being at the airport is so depressing.. watching all the loved up couples and cute people coming off holiday,too cute..hurry up November ✈️
Emotion: sadness
Intensity score: | 0.625 |
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: And 9/10 the character is a woman. Because if a man is fat he's jovial. If a woman is fat she's useless and maybe evil amirite?
Emotion: joy
Intensity score: | 0.146 |
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: Depression sucks!
Emotion: sadness
Intensity score: | 0.875 |
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: God we need a new goal keeper! They’re both horrific.
Emotion: fear
Intensity score: | 0.521 |
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: I'm girly in the sense that I always have lashes & nails done but tomboy in the sense that black is my only color & refuse the ruffle life
This tweet contains emotions: | joy |
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: #ntfc mourinho is worried, bringing Ibra and Rushford on.
This tweet contains emotions: | fear, pessimism |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: @ticcikasie1 With a frown, she let's out a distraught 'Gardevoir' saying that she wishes she had a trainer
Emotion: anger
Intensity score: | 0.417 |
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: @LindaFrum sadly, at least 3 more years of this. At what point will even the low info selfie lovers who voted for them say enough is enough
Emotion: sadness
Intensity score: | 0.500 |
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: @TheCatHeSay I may be #alwayshungry but I haven't sunk that low yet!! @Thereluctantcat
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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: @BlairWitchMovie love new movie\n#BlairWitch #blairwitchproject #horror #HorrorMovies
Emotion: fear
Intensity class: | 0: no fear 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: Not untill today has anyone ever said to me they remember what I had on over 7 years ago when they met me n liked me since #cutealert #happy
Emotion: joy
Intensity score: | 0.580 |
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: Kik to trade, have fun or a conversation (kik: youraffair) #kik #kikme #messageme #textme #pics #trade #tradepics #dm #bored
Emotion: anger
Intensity class: | 0: no anger can be inferred |
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive). | Tweet: 💥⚖️Yeah‼️ PAUL‼️⚖️💥 #glorious #BB18
Intensity score: | 0.688 |
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: @KimLy resent
This tweet contains emotions: | |
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: So excited to watch @RuPaulsDragRace #allstars \n #RuPaul
Emotion: anger
Intensity score: | 0.208 |
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: @lukeshawtime terrible
Emotion: fear
Intensity class: | 0: no fear 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: im like 'this is better' in the moment cuz i panic and then later its so obviously not better. at every opportunity i choose to make it seem
This tweet contains emotions: | fear, sadness |
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: The war is right outside your door #USAToday
Emotion: anger
Intensity score: | 0.396 |
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: #nana 4 hoco bc my dream since freshman year awe 😙❤❤❤ @thecandeyman
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: Another L on the board we just cannot match up on paper with these teams at the moment and its showing on the field. Onto Denver #revenge
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). | Tweet: #ArchangelSummit @sethgodin Anyone can be brave but you just have to last 5 mins longer than everyone else. #leadership #fear
Intensity score: | 0.352 |
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: We're all in D. T. (Discipleship training or detox) for something. #messy #fearful #cutoff #choosefreedom #CryOut16
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: @JennyPGR I worry about typos in any email to Simon, draft attached or not...
This tweet contains emotions: | anticipation, fear, sadness |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: whenever i pout i just want Adrian to appear and tell me to stop pouting or else
Emotion: anger
Intensity score: | 0.521 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: realising you have no conditioner after already shampooing 😓😓
Emotion: fear
Intensity score: | 0.500 |
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: #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
Emotion: fear
Intensity class: | 0: no fear 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: Have the producers of @soverybritish ever been outside of their country? These are universal problems. #worldwide #anxiety
Emotion: fear
Intensity class: | 2: moderate 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: Get to the gym and discover I forgot to put my gym shoes back in my bad 😤 #wwhhyyy
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: Like I said ➡ there's plenty of cheddar in the cheese to go around! For everyone. ☺ #smile
Emotion: joy
Intensity score: | 0.583 |
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: When you wake up, scroll through social media, and another father was taken from his child #everyday #KeithLamontScott
Emotion: fear
Intensity score: | 0.542 |
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: I always dread Wednesday's and the always end up making me the happiest
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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: @JoeShennan Meanwhile @JoshuaMurrayBM and I are getting a 7.40am train. I hope you really, really enjoy that hotel, Shennan.
Emotion: anger
Intensity score: | 0.219 |
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: Too fucking playful
This tweet contains emotions: | anger, disgust, 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: I get embarrassed at the slightest things and then I'll fret about it all day I hate it
This tweet contains emotions: | anger, disgust, 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: I can't guess if you holding a grudge against the best'
This tweet contains emotions: | anger, sadness |
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: Seeing double am so tired but I always grudge getting off my phone at night 🙄
This tweet contains emotions: | anger, disgust, sadness |
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: @russian906 @kingerpag @dannewton1978 Of have a suspicion it was @lct1975 you know!!
This tweet contains emotions: | fear |
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: @MarkTOByrne I offered @WholeFoods @amazon @CheapAir gold or silver but they said Nah... #bitcoin
Emotion: anger
Intensity score: | 0.438 |
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 turn 25 in two weeks. I am so happy. 24 was my darkest year yet. I am elated that I survived
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
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: @BitchestheCat Look at those teef! #growl
Intensity score: | 0.393 |
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: so ef whichever butt wipe pulled the fire alarm in davis bc I was sound asleep #pissed #upset #tired #sad #tired #hangry ######
Emotion: anger
Intensity class: | 3: high amount of anger 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: I am so happy I have come across @HilltopBindery notebooks! #handmade would love to talk to you! #musthave #want #need #happy #amazing 📖🖋
This tweet contains emotions: | joy, optimism |
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: @aGirlHasNo_Name @MdlMurray shot by black police woman Typical looney toon thinking.#Hillary #divide #anger #chaos
Emotion: anger
Intensity score: | 0.648 |
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: Fear blocks blessings, faith unlocks them. #ManUp #fear #faith
This tweet contains emotions: | fear, joy, 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: Like I can't do 12 hours worth of standing or calorie burning in 3 hours 😭😭😭😭 #1stworldprobs4vs
Emotion: anger
Intensity score: | 0.458 |
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: TGIF! Hope everyone that needs to find #recovery can and that our friends stay #sober this weekend! @REBOSTreatment @BlvdCenters
Emotion: sadness
Intensity class: | 0: no sadness 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: This brother know we know that his life was not in danger. This gun law got people in this country fearing for their life. White people.
This tweet contains emotions: | anger, disgust, fear |
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: I delete numbers so quick with no hesitation
Emotion: fear
Intensity score: | 0.288 |
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: I can never find the exact #emoji that I'm after at the exact moment that I need it #nuclear #missiles.\n\n#IndianArmy
Emotion: fear
Intensity class: | 0: no 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: Watch this amazing live.ly broadcast by @brooks_swaggysquad #musically
This tweet contains emotions: | anticipation, joy, love, optimism |
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: Rojo is hilarious
Emotion: joy
Intensity score: | 0.600 |
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: .@LEAFYSZERKER @markiplier is that an insult? Sounds like a job well done. it's red so it's done the job it was suppose to do #justsaying
This tweet contains emotions: | anger, surprise |
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: Might start stanning Lady Gaga again - more so than last time - but shhh don't tell Connor
This tweet contains emotions: | joy, optimism, surprise |
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: @len_snart gives a frustrated growl, before stepping closer and putting his gun through the barrier. No alarms and nothing happened. He-
Emotion: anger
Intensity class: | 1: low amount of anger 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: I feel horrible. I have accounting today but physically and mentally am not okay 😪
Emotion: fear
Intensity class: | 3: high 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: Don't be offended,\nI'm just doing something that,\nGives your life more hurts.\n\n #haikuchallenge #poetry
This tweet contains emotions: | anger, disgust, sadness |
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: @EE your a joke I pay for data when I'm in Spain and you then text and say I've used up all my data #terrible service
This tweet contains emotions: | anger, disgust |
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: @ReginalTSquirge you could add a jaunty bow\nOr bells
This tweet contains emotions: | anticipation, trust |
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: After what just happened. In need to smoke. #burning
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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: @peachkellipop the whole thread is jovial and fun and then this comment is like FULL of misogyny
This tweet contains emotions: | anger, disgust, joy |
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: ⊰ @FrameOfAnAngel ⊱ \n\n+ Of them. I'm here for answers, and if I scare her to death, there won't be answers for me. \n\nSo instead, I just +
Emotion: fear
Intensity class: | 1: low amount of 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: @JonnyOwenFilm @ringsiderobbie1 can you remember that train Sunday after Froch v Kessler ? #nightmare
Emotion: fear
Intensity class: | 2: moderate 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: That's me for the evening, though! Way too lit to finish these off properly without causing some serious mischief.
Emotion: sadness
Intensity class: | 0: no sadness 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: @imtarakate Uggh that's really horrible. You're not a bad person by any stretch of the imagination. I hope this person realizes that.
This tweet contains emotions: | disgust, fear, optimism, trust |
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: @VeyGraphics I had to unfollow, he got trolled by trolls. His revenge trolling just caused a lot of collateral damage.
This tweet contains emotions: | anger, disgust |
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: why yall hyped abt that girl getting to hang out w JB, he clearly looks so unhappy and bored in the pics no offense LOL, plus he hates yall
Emotion: sadness
Intensity score: | 0.583 |
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: Swear all of my guy friends are scaredy cats. You don't do horror movies. You don't do haunted houses. Wtf do you do then?
Emotion: fear
Intensity class: | 0: no 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: I know this is going to be one of those nights where it takes an Act of God to fall asleep. #restless
Emotion: fear
Intensity score: | 0.750 |
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: one of the main things im doing w/ 13c is filling in the void of my empty bitter heart by making everything how i wanted it to be growing up
Emotion: anger
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: @RossKemp great programme tonight #sad #upsetting #extremeworld
Emotion: sadness
Intensity class: | 2: moderate 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: categ than GEN &OBC it cost only 100 or nill .i am not against the reservation and i support it,sir minimize the fees #bright fut @PMOIndia
This tweet contains emotions: | disgust, optimism |
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: Praying for the #Lord to keep #anger #hate #jealousy away from your heart is a sign of #maturity #conciseness
Intensity score: | 0.419 |
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: Somebody who has braved the storm is brewing. #cheerful
Intensity score: | 0.774 |
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: Home is where the heart lies ! Love my little island but my birth city just ain't acting right & im not feeling too good about it #restless
Emotion: fear
Intensity score: | 0.583 |
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 were assured of your eventual destruction I would, in the interests of the public, cheerfully accept my own.' Sherlock Holmes
This tweet contains emotions: | optimism |
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: I hate not having the answers I need. #tomourssuck #prayinsnotcancer #angry
Emotion: anger
Intensity score: | 0.792 |
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: Don't forget 2 test yr #smoke #alarm, #carbon #monoxide #detector #batteries. It could save your #life. 🐈🐩 #Lovinleeds
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: Be happy. Be who you want to be. If others don't like it, then let them be. Happiness is a choice. Life isn't about pleasing everybody....
Emotion: joy
Intensity score: | 0.520 |
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: Y'all bitches be so angry and bitter, that must truly suck lol
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: Actually be arsed with my sister sometimes, she controls the TV 90% of the time and when I watch one thing she gets in a huff 🙄
This tweet contains emotions: | anger, disgust, sadness |
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: Buddha doesn't possess enough power to deliver you from your affliction!
This tweet contains emotions: | pessimism |
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: Popufurs make posts like 'opening commissions in an hour get a slot while you can' and I'm like sitting here in awe at that sort of demand
This tweet contains emotions: | anger, sadness, surprise |
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: 2 days until #GoPackGo and 23 days until #GoGipeGo..... I'm so excited! #smiling
Intensity class: | 3: very positive emotional state 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: @TDsNation I blame how broken madden is this year
This tweet contains emotions: | disgust, pessimism |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: But the lady at the store said I had nice eyelashes so that's good, right? #optimism? @verizon
Emotion: joy
Intensity score: | 0.385 |
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: $100 says Teufel is 'reassigned' within the organization before next year, but I wish it was sooner... #Mets #thirdbasecoach #lgm
Emotion: fear
Intensity score: | 0.417 |
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: Do not despise the Lord ’s #discipline, do not #resent his rebuke, because the #Lord disciplines those he loves... #Proverbs 3:11-12
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: Been sober for days lmao
Emotion: sadness
Intensity score: | 0.292 |
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: #hate going to the doctor on so many levels but least I can go sleep with a #smile just watched #Dwight on live nation
Emotion: joy
Intensity class: | 0: no joy can be inferred |
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: I am going to make it my life's mission to discourage anyone from using @CapitalOne. They will rob you blind
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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: Glasgow Girls' is a real tonic @stratfordeast:an eclectic range of songs, barbed humour and eloquence in its fiery rage against injustice
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: Huns are like a box of coffee revels #horrible
This tweet contains emotions: | anger, disgust |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.