instruction
stringlengths 246
481
| input
stringclasses 1
value | output
stringclasses 16
values |
|---|---|---|
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: @maggyvaneijk Old age?! No hope for the rest of us. Destined to become deatheaters by 50
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: U know u have too much on ur mind when u find yourself cleaning a stove and kitchen by yourself at almost 3am... #pensive
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
|
For the tweet "@OpheliaMCFLY_GD yes!! Once I'm done with people I'm really done.... lying to me is the worse thing someone can do I'm a nightmare 😂", classify the intensity of the emotion fear. The possible classifications 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 |
|
Analyze the tweet "Some moving clips on youtube tonight of the vigil held at Tulsa Metropolitan Baptist church for #TerenceCruther #justice #anger #sadness" to classify the intensity of the emotion sadness. Your options are: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred. | 2: moderate amount of sadness can be inferred |
|
Read the tweet "I wish harry would start tweeting people again" 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 |
|
Determine how strongly sadness is expressed in the following tweet. Use the scale: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred.
Tweet: @AdamAaronovich Well, there's no need to sulk. You can always request a song, you know. | 1: low amount of sadness can be inferred |
|
Evaluate the tweet for the intensity of the emotion joy. The categories are as follows: 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: It's funny that everyone came in my life as they like how far I'm cheerful and self confident could make me 3abla kaml fg2a kda 😂😂😂 | 3: high amount of joy can be inferred |
|
Assess the level of the emotion sadness in the tweet provided. Use the following categories: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred.
Tweet: A pretty dejected FanCam on the way. #SCFC #TBPTV | 2: moderate amount of 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: @S_Moore24 wow that sounds terrific
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Based on the given tweet, determine the level of joy the author is experiencing. Choose from the following options: 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: hate overthinking e v e r y t h i n g like i jus' wanna be happy pls | 0: no joy can be inferred |
|
Evaluate the tweet for the intensity of the emotion sadness. The categories are as follows: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred.
Tweet: “My friend do you fly away now? To a world that abhors you and I? All that awaits you is a somber morrow No matter where the winds may blow” | 2: moderate amount of 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: @JeffersonLake speaking of ex cobblers, saw Ricky Holmes at Charlton last week.. tracking back & defending... I dread seeing Gorre on ball..
Emotion: fear
Intensity class: | 0: no fear 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: Don't ever grow weary doing good....Don't just see the headlines; look at the trend lines for hope.' @billclinton #CGI2016
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
|
Assess the level of the emotion anger in the tweet provided. Use the following categories: 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.
Tweet: @thatomahapa the best revenge is to get yourself a good woman and move on. Leave her and her hairline to figure themselves out alone | 1: low amount of anger can be inferred |
|
Assess the level of the emotion sadness in the tweet provided. Use the following categories: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred.
Tweet: @jack_haug_lifty @eable It's Ms btw. we were lied to by Remain. dry your remainer tears; Just accept you #lost | 2: moderate amount of sadness can be inferred |
|
Given the emotion anger and the tweet "@LickMeLucas ...I'm waiting for you to figure out I'm like... from 0 to 100 real quick with the irritation.", classify the intensity of the emotion displayed in the tweet. The classification 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. | 2: moderate amount of anger 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: The Apocalypse has hit our gym and it's nothing what I thought it would be...\n\nEveryone is wearing vests! What if it's contagious? #afraid
Emotion: fear
Intensity class: | 3: high amount of fear can be inferred |
|
Given the emotion joy and the tweet "Accept the challenges so that you can feel the exhilaration of victory.", 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. | 2: moderate amount of joy can be inferred |
|
For the tweet "Think of #anger as this barrier between you and your truth.' @laurascoe", assess the intensity of the emotion anger. Choose one of the following: 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. | 1: low amount of anger 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: Really.....#Jumanji 2....w/ The Rock, Jack Black, and Kevin Hart...are you kidding me! WTF! #ThisIsATerribleIdea
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: There's a certain hilarity in people angry at protests against the national anthem or the flag when these acts are covered by 1st Amendment.
Emotion: joy
Intensity class: | 0: no joy 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: @DreKnott You've got tremendous range.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Determine how strongly fear is expressed in the following tweet. Use the scale: 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.
Tweet: @TheBadgerBoy check out the article on @SaintSkipper5 on @dailyecho #shocking | 0: no fear 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: @MobilePunch alarming
Emotion: fear
Intensity class: | 0: no fear 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: If my luck the rest of Fall goes anything like today, I think I'm going to like this season. #bestdayever #magic #work #snap
Emotion: anger
Intensity class: | 0: no anger can be inferred |
|
Given the emotion joy and the tweet "Accept the challenges, so that you may feel the exhilaration of victory.", classify the intensity of the emotion displayed in the tweet. The classification options 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. | 0: no joy 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: And with rich Fumes his sullen sences cheer'd.
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: The point of living, and being an optimist, is to be foolish enough to believe the best is yet to come' - Peter Ustinov #quote
Emotion: joy
Intensity class: | 1: low amount of joy can be inferred |
|
Analyze the tweet "Changing my hair again #shocking" 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 |
|
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: Excited and nervous for Tuesday
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: @knology has providing customers w/equipment that doesn't deliver speeds of internet services that they have been charging. #unhappy #scam
Emotion: sadness
Intensity class: | 3: high amount of 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: It's basically a dead skin peel which sounds grim. But it literally gets rid of so much dead skin from your pores.
Emotion: sadness
Intensity class: | 0: no sadness 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: If u know anything about football help me out here, who should I start
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Determine how strongly sadness is expressed in the following tweet. Use the scale: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred.
Tweet: Never dull moment here | 0: no sadness can be inferred |
|
Given the emotion fear and the tweet "@Zen1dfabflake You are all our angelic comrades!", rate the intensity of fear shown. The rating scale is: 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 |
|
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: @kingcharles9th i Lowkey forgot you had twitter and if you don't follow me back im gonna be #offended
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
|
Given the emotion fear and the tweet "@wholegrainne Sweden win + Finland win, or NA win + Finland win, NA win + Russia win + timebreakers shake down right", classify the intensity of the emotion displayed in the tweet. The classification 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 |
|
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: Lost Frequencies/Janieck Devy - Reality (Gestort Aber Geil Remix)' is raging at ShoutDRIVE!
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
|
Assess the level of the emotion fear in the tweet provided. Use the following categories: 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.
Tweet: Yellow Submarine is under tremendous pressure from Los Blancos. #WaveAfterWave #RMAVIL | 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: In inter-group relationships, #anger makes people think in more negative and prejudiced terms about outsiders.
Emotion: anger
Intensity class: | 1: low amount of anger 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: Forgiveness might make us look weak, but the weakest person is the one who holds anger, hatred, and revenge.
Emotion: anger
Intensity class: | 0: no anger 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: The bounty hunter things a bit lively
Emotion: joy
Intensity class: | 0: no joy can be inferred |
|
For the tweet "@ParamjitGarewal way to go #London. Nice job electing a #muslim #jihadist for mayor. Good luck with your future #terror attacks #sadiqkhan", 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. | 1: low amount of fear can be inferred |
|
Analyze the tweet "So when I try I fail... and when I don't try... I still fail... #confused and #lost" to classify the intensity of the emotion sadness. Your options are: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred. | 3: high amount of sadness 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: Migraine hangover all day. Stood up to do dishes and now I'm exhausted again. GAD, depression & chronic pain #depression #pain
Emotion: fear
Intensity class: | 3: high amount of 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: @SapientSoldier timid but determined version of the rabid beasts beyond the land. Growling beneath my restrained breath, I //rip// myself --
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: @LPDonovan this is why I think his pre prepped debate answers have the potential for hilarity
Emotion: joy
Intensity class: | 1: low amount of joy can be inferred |
|
Assess the level of the emotion sadness in the tweet provided. Use the following categories: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred.
Tweet: @macmacm43 jeezus God | 0: no sadness can be inferred |
|
Assess the level of the emotion anger in the tweet provided. Use the following categories: 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.
Tweet: That AK47 leave your spine with a frown | 2: moderate amount of anger can be inferred |
|
Based on the given tweet, determine the level of fear the author is experiencing. Choose from the following 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.
Tweet: think they re dating guys #nervous #bodybuilding #with #Follow4Follow megaphone xxx number Nierstein | 0: no fear can be inferred |
|
Evaluate the tweet for the intensity of the emotion fear. The categories are as follows: 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.
Tweet: Bilal Abood, #Iraq #immigrant who lives in Mesquite, Texas, was sentenced to 48 months in prison for lying to the Feds about . | 0: no fear can be inferred |
|
Given the emotion joy and the tweet "I love Mary's undying optimism. You could present her with dog shite and she'd find something good to say. #GBBO", classify the intensity of the emotion displayed in the tweet. The classification options 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 |
|
Given the emotion joy and the tweet "Today I reached 1000 subscribers on YT!! #happy, #goodday, #thankful", classify the intensity of the emotion displayed in the tweet. The classification options 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: 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: @ErinAndrews I ❤️you on DWTS You make my night every show! 😘 #hilarious
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
|
Analyze the tweet "feel really sad and down today😒" to classify the intensity of the emotion sadness. Your options are: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred. | 3: high amount of sadness can be inferred |
|
Read the tweet "My friends tell me I'm pretty. Trigger tells my I'm ugly. I first was confused but then realised I'm both. Pretty ugly. #tru #tumblr" and determine the level of sadness present. Select from these options: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred. | 2: moderate amount of sadness can be inferred |
|
Read the tweet "@5ftanomaly aside from that i'm all about pleasing the individual that i'm involved with, my pleasure comes from their pleasure." and determine the level of joy present. Select from these options: 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 |
|
Given the emotion anger and the tweet "i feel furious", classify the intensity of the emotion displayed in the tweet. The classification 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. | 3: high amount of anger 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: To com sede de milk shake
Emotion: fear
Intensity class: | 0: no fear 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: Manchester derby at home #revenge
Emotion: anger
Intensity class: | 0: no anger can be inferred |
|
Determine how strongly fear is expressed in the following tweet. Use the scale: 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.
Tweet: Show your new job you're not #afraid of new tasks. Take on a #project, be brave, make an #impression. #WorkTiveTruth | 0: no fear 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: @mofspades or maybe he's like my dad and no hair grows on his body... (I will always resent my mother's genes for taking this from me)
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
|
Evaluate the tweet for the intensity of the emotion sadness. The categories are as follows: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred.
Tweet: Smokeys dad is sad :/ | 3: high amount of sadness can be inferred |
|
Analyze the tweet "And she got all angry telling me 'but what would be doing a 40 year old guy looking for a girl like you' and I felt #offended" 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. | 2: moderate amount of anger can be inferred |
|
For the tweet "@jbiggy13 @ToneCapone111 ya and the d was what I was most confident about..... our offense is as good as it's been in 20 years...our d sucks", classify the intensity of the emotion anger. The possible classifications 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. | 1: low amount of anger can be inferred |
|
For the tweet "@Digger_forum he's also mostly (except for the synthetic testosterone bits) male, you raging sexist!", classify the intensity of the emotion anger. The possible classifications 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. | 3: high 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: Feelings got cheated when I mistook the sparkling ribena to be the normal ribena......
Emotion: joy
Intensity class: | 0: no joy can be inferred |
|
Given the emotion fear and the tweet "@MaxiNutrition order 321073 parcel 15502922895987. #awful #customercare by @DPD_UK tried to view calling card online. black image #noshow", classify the intensity of the emotion displayed in the tweet. The classification 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 |
|
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: Just caught up with @RichardEGrant's wonderful new series on #EalingComedies. Infectious delight in every interview and film clip.
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
|
Read the tweet "The majority of my clients have family/ partner/ day job/ life AND write their beautiful books. #gratitude #HARDwork" 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 |
|
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: What did y'all do to your app @NFLfantasy It's horrible. #horrible. Worst except once ever
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
For the tweet "I wonder if the #wolfcreek TV show is sponsored by the anti-tourist board of Australia to discourage visitors? #stayathome #dontvisit", classify the intensity of the emotion sadness. The possible classifications are: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred. | 0: no sadness 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: It is so exhilarating taking on the challenge of demonstrating + explaining WHY #JamesJoyce's #Ulysses is so endearing & wonderful!
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
|
Evaluate the tweet for the intensity of the emotion fear. The categories are as follows: 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.
Tweet: @hm_custserv #awful service at your Camden store yesterday. Assistants thought it more important to put clothes on hangers than serve. | 0: no fear 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: Fingers crossed I can finish all my work early enough this Friday in time to catch @Raury at LIB 😦 #nervous #timetogrind
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: Welp, I'm off to get my #anxiety meds now. #Empire
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
|
Evaluate the tweet for the intensity of the emotion fear. The categories are as follows: 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.
Tweet: On the way to Laser Vista ... lens implantation ... #LaserVista #happy | 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: @CallumPinner you came in at silly o'clock and woke me up that's what happened #wasted #fuming
Emotion: anger
Intensity class: | 3: high 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: #Pain is an aspect of #human evolution; the evolution of #consciousness. #attachments #desire #apathy #sentimentality #tears #O
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: Instagram seriously sort your sh*t out. I spent ages writing that caption for you to delete it and not post it!! #fume #instagram
Emotion: anger
Intensity class: | 3: high amount of anger 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 truly feel like science has the ability to make a milk out of anything ... cashew milk, hemp milk, pine nut milk, dandelion milk
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
|
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: Watch this amazing live.ly broadcast by @katyy.mae #musically | 1: low amount of joy can be inferred |
|
Evaluate the tweet for the intensity of the emotion joy. The categories are as follows: 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: @Tjsotomayor snow pig, that's hilarious. Lmaooo | 3: high amount of joy 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: @JensenAckles @jarpad whatever Sam is holding on your tee looks like it's got a droop on 😂
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
|
Given the emotion anger and the tweet "So #angry about my @WishShopping order. 6 #months ago I placed an order of over $500. Card billed. Never #received \n#disappointing", classify the intensity of the emotion displayed in the tweet. The classification 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. | 3: high amount of anger can be inferred |
|
Given the emotion sadness and the tweet "the waitress recognised me from last time i was in there moping, after my interview haha", classify the intensity of the emotion displayed in the tweet. The classification options are: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred. | 1: low amount of sadness 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: @Its_just_Huong I will beat you !!! Always thought id be gryffindor so this is a whole new world for me 😨😨😨 #excited #afraid
Emotion: fear
Intensity class: | 1: low amount of fear 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: A little nose irritation and a little more chills on my body. I'm so not into flu, into flu, into flu #FallSongs
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
|
For the tweet "me: wow today's such a good day \n*an hour later: burns food, gets sick, spills boiling hot water on myself*\nme: never mind", assess the intensity of the emotion anger. Choose one of the following: 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. | 2: moderate amount of anger can be inferred |
|
Read the tweet "@lericoo 35. Do you hold a grudge against your ex?" 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 |
|
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: conflicting reports on mama #RitaMarley health,mannn and i woke up today feeling like mi ole self(rejoice!!)now dis #sadness
Emotion: sadness
Intensity class: | 2: moderate amount of sadness 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: It's sad when your man leaves work a little bit late and your worst fear is 'Oh no!! Did he get stopped by the police?!?! ' #sad #ourworld
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
|
Analyze the tweet "@MidgetTamer @RAIDERS @52Mack_ Make him be a bully. Sit him in a room by himself and let him look at Debo all day." 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 |
|
Read the tweet "@HebertofNH any time a man who got paid to throw temper tantrums speaks up, you gotta listen." 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. | 2: moderate amount of anger can be inferred |
|
Given the emotion fear and the tweet "@LonelyGoomba UK cops have an issue fearing intervention. Hence situations like Rotherham. So of course it'll be dwarfed by US cops.", classify the intensity of the emotion displayed in the tweet. The classification 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 |
|
Given the emotion anger and the tweet "2 days on.......never a fucking pen!!!! #nffc", classify the intensity of the emotion displayed in the tweet. The classification 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. | 3: high amount of anger can be inferred |
|
Analyze the tweet "Get there deviant differently enigmatic bellboy in passage to correct thy ring up jaunty: IWLDpe" to classify the intensity of the emotion joy. Your options 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. | 0: no joy 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: What a #lively #lovely #shower 😇 ..
Emotion: joy
Intensity class: | 3: high amount of joy 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: Feel so grim + ugly atm
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
|
Based on the given tweet, determine the level of anger the author is experiencing. Choose from the following 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.
Tweet: Projection is perception. See it in someone else? You also at some level have that within you. #anger #worry | 1: low amount of anger can be inferred |
Subsets and Splits