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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.210
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.210
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.210
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.210
Here is the final instruction:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Each of ye separate FALLEN; if we quickening his wrath upon us, will only cause our PAIN to be more unbearable in that PIT.
Intensity score: | 0.210 | 1 | v_reg | 368 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.400
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.400
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.400
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.400
Here is the final instruction:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Nicole: we have to go somewhere warm and tropical\nMe: okay where?\nNicole: Oakland\n\nWhy does no one in my life ever look at a map?? #lost
Intensity score: | 0.400 | 4 | v_reg | 369 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Let's analyze the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.355
Let's analyze the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.500
Let's analyze the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.733
Let's analyze the sentiment intensity of the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.422
Here is the final instruction:
Let's analyze the sentiment intensity of the tweet "i do love shack shake". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.823 | 6 | v_reg | 370 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.100
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.100
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.100
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.100
Here is the final instruction:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: So I now have 3 pairs of shit arsehole neighbours; Any advice? #noisy #norespect #bigbuilding #awful #killinginthenameof
Intensity score: | 0.100 | 4 | v_reg | 371 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.500
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.500
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.500
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.500
Here is the final instruction:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: 'It was straight out of Harry Potter' - how a simple Tinder and Chill turned into a fiery reactionary debacle
Intensity score: | 0.500 | 4 | v_reg | 372 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Let's analyze the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.355
Let's analyze the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.500
Let's analyze the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.733
Let's analyze the sentiment intensity of the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.422
Here is the final instruction:
Let's analyze the sentiment intensity of the tweet "Elle: a delicious, dark, perverse work of intrigue, streaked with cruel humour. Superb performance from Isabelle Huppert. A one off #ElleDVD". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.613 | 6 | v_reg | 373 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.741
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.741
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.741
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.741
Here is the final instruction:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @ArriFaun This was such a great way to start the day lmao ๐คฃ๐
Intensity score: | 0.741 | 1 | v_reg | 374 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Desired response: 0.355
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Desired response: 0.500
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Desired response: 0.733
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Desired response: 0.422
Here is the final instruction:
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: @Radio702 There is nothing comical or funny about corrupt officers and negotiating the rand amount for a bribe ๐ก | 0.194 | 9 | v_reg | 375 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Desired response: 0.355
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Desired response: 0.500
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Desired response: 0.733
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Desired response: 0.422
Here is the final instruction:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @altontowers Loves the rich!!! Fuck us 'working class folk' and our kids! #fuming #joke #scandalous #disgusting #altontowers ๐ก๐ก | 0.094 | 5 | v_reg | 376 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Desired response: 0.355
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Desired response: 0.500
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Desired response: 0.733
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Desired response: 0.422
Here is the final instruction:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @Agrivisor SHOCKER. @Agrivisor friend displays some #sarcasm | 0.516 | 5 | v_reg | 377 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Desired response: 0.355
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Desired response: 0.500
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Desired response: 0.733
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Desired response: 0.422
Here is the final instruction:
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: @DavidJo52951945 Diversity is our strength. #sarcasm | 0.581 | 9 | v_reg | 378 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Let's analyze the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.355
Let's analyze the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.500
Let's analyze the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.733
Let's analyze the sentiment intensity of the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.422
Here is the final instruction:
Let's analyze the sentiment intensity of the tweet "My body literally shaking, I ain't running on enough sleep to be getting this pissed off". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.161 | 6 | v_reg | 379 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.375
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.375
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.375
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.375
Here is the final instruction:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: 'If I allow my worry to consume me - all that I worry about will be given the opportunity to manifest.' ~ #Eleesha แฆ #quote #worry #trust
Intensity score: | 0.375 | 1 | v_reg | 380 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.355
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.500
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.733
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.422
Here is the final instruction:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "No offense to the girl next to me but dousing yourself with cheap cologne won't hide your rank smell". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.283 | 7 | v_reg | 381 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.355
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.500
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.733
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.422
Here is the final instruction:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@villodotexe This is the most fucking cursed FEHeroes unit I've ever had the displeasure of seeing". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.250 | 7 | v_reg | 382 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Desired response: 0.355
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Desired response: 0.500
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Desired response: 0.733
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Desired response: 0.422
Here is the final instruction:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @WorldFringeDay Heehee. I did chuckle to myself when i saw what it actually was, so you did get a laugh out if me. \n๐ | 0.766 | 5 | v_reg | 383 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.883
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.883
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.883
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.883
Here is the final instruction:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: Absolutely loving that people watching the #eclipse are cheering - for the sun! For the moon! For wonder! ๐ #beautiful
Intensity score: | 0.883 | 2 | v_reg | 384 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.355
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.500
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.733
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.422
Here is the final instruction:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@CaxtonSupport I'm sorry but I don't know what DM stands for. I know a PM ๐. But sadly not a DM. It won't create an account to find.". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.534 | 7 | v_reg | 385 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Let's analyze the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.355
Let's analyze the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.500
Let's analyze the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.733
Let's analyze the sentiment intensity of the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.422
Here is the final instruction:
Let's analyze the sentiment intensity of the tweet "Finally its time, i have a cuppa n its time to watch what i already know will be an epic ep of Game of Thrones #bliss". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.690 | 6 | v_reg | 386 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.845
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.845
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.845
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.845
Here is the final instruction:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @SandraOldfield I LOVE the comics! #hilarious
Intensity score: | 0.845 | 2 | v_reg | 387 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.419
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.419
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.419
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.419
Here is the final instruction:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @_mayatp Looks it's daisy in her natural habitat, doing her natural face, with the natural annoying growl that turns into a terrible bark
Intensity score: | 0.419 | 2 | v_reg | 388 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Assess the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately..." based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.355
Assess the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.500
Assess the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.733
Assess the sentiment intensity of the tweet "Just want Saturday to be over but then again I want to do good #LSAT" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.422
Here is the final instruction:
Assess the sentiment intensity of the tweet "All I want is get my sister @ashleyclaw & @chrisdelia in a room and listen to both of them laugh #Hollywoodimprov #laughteristhebestmeds #๐" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative. | 0.900 | 8 | v_reg | 389 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Let's analyze the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.355
Let's analyze the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.500
Let's analyze the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.733
Let's analyze the sentiment intensity of the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.422
Here is the final instruction:
Let's analyze the sentiment intensity of the tweet "man I hate Spider-Man and I ain't even watch it yet ๐ค". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.172 | 6 | v_reg | 390 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Assess the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately..." based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.355
Assess the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.500
Assess the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.733
Assess the sentiment intensity of the tweet "Just want Saturday to be over but then again I want to do good #LSAT" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.422
Here is the final instruction:
Assess the sentiment intensity of the tweet "What if palindrome were a palindrome? #ironic" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative. | 0.422 | 8 | v_reg | 391 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.464
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.464
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.464
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.464
Here is the final instruction:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: Wanting to leave this planet, listening to what gets radio-play #grim
Intensity score: | 0.464 | 0 | v_reg | 392 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.703
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.703
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.703
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.703
Here is the final instruction:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Everything is a Miracle. Find a way to give thanks to God. Don't let anyone or any circumstances take that from you. #youareblessed #rejoice
Intensity score: | 0.703 | 4 | v_reg | 393 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.370
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.370
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.370
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.370
Here is the final instruction:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: If your only response to this current political crap show is 'but Hillary!!' Or 'but Obama!!' you need to start looking for a new argument.
Intensity score: | 0.370 | 1 | v_reg | 394 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.586
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.586
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.586
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.586
Here is the final instruction:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Office #renovation... the chemical / glue smell so good... feeling high now...... #sarcasm
Intensity score: | 0.586 | 4 | v_reg | 395 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Desired response: 0.355
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Desired response: 0.500
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Desired response: 0.733
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Desired response: 0.422
Here is the final instruction:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @BollyBigBolt #cheerful That pink makes the other colours pop! x | 0.742 | 5 | v_reg | 396 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Desired response: 0.355
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Desired response: 0.500
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Desired response: 0.733
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Desired response: 0.422
Here is the final instruction:
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: I don't fear the unsettling demons inside of me. I let them conquer the weakest nook of my soul for that is the only provenance of my power. | 0.593 | 9 | v_reg | 397 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.533
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.533
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.533
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.533
Here is the final instruction:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: You guys like my mask? I call it a 'smile' ๐ #INFJproblems #INFJ #adulting #workingthroughthepain #life #love #joy #mask #smile
Intensity score: | 0.533 | 2 | v_reg | 398 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Assess the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately..." based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.355
Assess the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.500
Assess the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.733
Assess the sentiment intensity of the tweet "Just want Saturday to be over but then again I want to do good #LSAT" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.422
Here is the final instruction:
Assess the sentiment intensity of the tweet "Johnny doesn't seem like the suicidal type #suspicion #tcmparty" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative. | 0.383 | 8 | v_reg | 399 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Desired response: 0.355
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Desired response: 0.500
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Desired response: 0.733
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Desired response: 0.422
Here is the final instruction:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @sesass118 Is that #sarcasm I detect #rhetorical | 0.500 | 5 | v_reg | 400 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Assess the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately..." based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.355
Assess the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.500
Assess the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.733
Assess the sentiment intensity of the tweet "Just want Saturday to be over but then again I want to do good #LSAT" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.422
Here is the final instruction:
Assess the sentiment intensity of the tweet "@LeahRemini These stories are so #heartbreaking #ScientologyTheAftermath Please continue to bring #truth to the surface. Ur helping humanity" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative. | 0.313 | 8 | v_reg | 401 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.433
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.433
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.433
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.433
Here is the final instruction:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @GFunk911 @Hero_Complex Didn't I ACTUALLY prevent your house from being burned down at your post prom party? #irony
Intensity score: | 0.433 | 4 | v_reg | 402 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Let's analyze the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.355
Let's analyze the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.500
Let's analyze the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.733
Let's analyze the sentiment intensity of the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.422
Here is the final instruction:
Let's analyze the sentiment intensity of the tweet "@itvnews Pound has dropped despite #UK #Govt proposals - duh it's #BECAUSE of the #idiocy & #arrogance of them that it's #dropped โน๏ธ". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.190 | 6 | v_reg | 403 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.355
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.500
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.733
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.422
Here is the final instruction:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@Rinoa11 lel I already know the whole plot dont worry I would have warned you :D man... Cid tho... That bitch slapped Gabranths hand away". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.483 | 7 | v_reg | 404 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.333
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.333
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.333
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.333
Here is the final instruction:
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: I have to bury another person this year at the same cemetery my father and nephew are buried in. #great
Intensity score: | 0.333 | 3 | v_reg | 405 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.450
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.450
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.450
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.450
Here is the final instruction:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @OliviaSundberg1 thanks for this โ the perspective is shocking. it's getting to a point where it's near that number every week now.
Intensity score: | 0.450 | 0 | v_reg | 406 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Desired response: 0.355
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Desired response: 0.500
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Desired response: 0.733
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Desired response: 0.422
Here is the final instruction:
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: Feeling all Tuesday blah until @sarahmakesart sent over a bunch of hilarious memes. #spreadthelove | 0.707 | 9 | v_reg | 407 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.355
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.500
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.733
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.422
Here is the final instruction:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@na_dirs Omg you're savage prof, this is hilarious ๐คฃ๐คฃ". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.867 | 7 | v_reg | 408 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.655
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.655
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.655
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.655
Here is the final instruction:
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Are we all aware thar we are using a hashtag that has Eclipse spelled incorrectly?! @ScienceChannel @NebraskaMed #SolarEclispe #giggles
Intensity score: | 0.655 | 3 | v_reg | 409 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.355
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.500
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.733
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.422
Here is the final instruction:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@SallyAnMatthews disturbed by erroneous noise on match point #irony". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.359 | 7 | v_reg | 410 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.607
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.607
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.607
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.607
Here is the final instruction:
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: It's now raining and I can hear thunder growl somewhere. Good day to read some more.
Intensity score: | 0.607 | 3 | v_reg | 411 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Let's analyze the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.355
Let's analyze the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.500
Let's analyze the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.733
Let's analyze the sentiment intensity of the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.422
Here is the final instruction:
Let's analyze the sentiment intensity of the tweet "New Lyft Code unlocks Free Ride credit: PIP # GT Fish and Oyster #gleeful #COUPONSROCK". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.571 | 6 | v_reg | 412 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.500
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.500
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.500
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.500
Here is the final instruction:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: but i'm still here ๐
Intensity score: | 0.500 | 2 | v_reg | 413 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.648
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.648
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.648
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.648
Here is the final instruction:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Free yourself from the poisonous and laborious burden of holding a grudge. @SteveMaraboli #quote
Intensity score: | 0.648 | 1 | v_reg | 414 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.306
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.306
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.306
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.306
Here is the final instruction:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @Ellpeck I fear that you could die by your self, that scares me. My own death not which could be any time in my age.
Intensity score: | 0.306 | 1 | v_reg | 415 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.210
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.210
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.210
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.210
Here is the final instruction:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: So tired. All these freshies and all i'm unhappy at are these volunteers.
Intensity score: | 0.210 | 1 | v_reg | 416 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Assess the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately..." based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.355
Assess the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.500
Assess the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.733
Assess the sentiment intensity of the tweet "Just want Saturday to be over but then again I want to do good #LSAT" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.422
Here is the final instruction:
Assess the sentiment intensity of the tweet "yesterday was amazing. thank u #mtv cant wait for the #interview the #irony is 7.10 was also supposed to be my 7 yr anv. plus6yr. #sober" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative. | 0.609 | 8 | v_reg | 417 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Assess the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately..." based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.355
Assess the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.500
Assess the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.733
Assess the sentiment intensity of the tweet "Just want Saturday to be over but then again I want to do good #LSAT" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.422
Here is the final instruction:
Assess the sentiment intensity of the tweet "So the nuclear soap opera as it happenedโฆ Trump loves Putin, Putin loves Kim, Trump hates Kim. #irony in 140 characters or less." based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative. | 0.400 | 8 | v_reg | 418 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.633
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.633
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.633
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.633
Here is the final instruction:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: Jon Snow is like a cat with 9 lives #GameOfThrones
Intensity score: | 0.633 | 2 | v_reg | 419 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.300
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.300
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.300
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.300
Here is the final instruction:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: when will i ever be happy with myself?
Intensity score: | 0.300 | 0 | v_reg | 420 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.800
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.800
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.800
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.800
Here is the final instruction:
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Why was 6 afraid of 7?\nCause 7 ate 9. BUT, why DID 7 eat 9??\nBecause you should eat 3 squared meals a day! ๐ #jokes #meme #dankmemes #funny
Intensity score: | 0.800 | 3 | v_reg | 421 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.603
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.603
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.603
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.603
Here is the final instruction:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: 'It's hard to keep faith when the answer is no' LOL!\n#quote #quotes #motivation #Inspiration #TuesdayMotivation #irony #Sarcasm
Intensity score: | 0.603 | 4 | v_reg | 422 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.306
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.306
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.306
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.306
Here is the final instruction:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @realYoshiPlayer No offense, but this post makes you look like an opinion disrespecter.
Intensity score: | 0.306 | 2 | v_reg | 423 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.500
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.500
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.500
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.500
Here is the final instruction:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Thought For The Day\n\nRemain Unruffled\n\n2 Thes 3:13 says 'But ye, brethren, be not weary in well doing.' For many years I have
Intensity score: | 0.500 | 4 | v_reg | 424 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.355
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.500
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.733
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.422
Here is the final instruction:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@ghenesnowdon @NoOneGOT2 @MochaUson Exactly because of their #bitterness #FiatLoserIdiotAquinoFollower". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.367 | 7 | v_reg | 425 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.259
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.259
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.259
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.259
Here is the final instruction:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Me at Start of Semester Expecting = A+\nAfter Mids = B+\nAfter Finals = Passing Marks\n\nThinking to quit MS. ๐ก
Intensity score: | 0.259 | 1 | v_reg | 426 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.203
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.203
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.203
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.203
Here is the final instruction:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: #jeremyvine take a slightly dull subject and makes it so tediously boring you actually want to rip your own throat out!
Intensity score: | 0.203 | 2 | v_reg | 427 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.813
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.813
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.813
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.813
Here is the final instruction:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @William79825670 @Bienvenuebrexit @UnityRefEire I better bring in the washing then...enjoy yere caveman celebration's laughing ๐ stock ๐
Intensity score: | 0.813 | 0 | v_reg | 428 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.518
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.518
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.518
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.518
Here is the final instruction:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @TweetmeJordan @jordanknight oh, that too! ๐คฃ
Intensity score: | 0.518 | 0 | v_reg | 429 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.629
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.629
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.629
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.629
Here is the final instruction:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @EmberXiao โ Ah, I see! Clever! โ\n[Ruby nodded her head, putting her hands by her sides before smiling up at Yang.]\nโ Hehe, since when--
Intensity score: | 0.629 | 0 | v_reg | 430 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.554
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.554
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.554
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.554
Here is the final instruction:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: It would be ironic if trump went out because of emails. #irony #trump #trumpjr #maga #peaceout #seeya #butheremails
Intensity score: | 0.554 | 4 | v_reg | 431 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.387
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.387
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.387
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.387
Here is the final instruction:
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: @143percentspeed Oh wait you're not a woman\n\nI retract my statement #sarcasm
Intensity score: | 0.387 | 3 | v_reg | 432 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.431
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.431
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.431
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.431
Here is the final instruction:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Some people create their own storms, then get upset when it rains๐ชโ๏ธ #ironic
Intensity score: | 0.431 | 4 | v_reg | 433 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.488
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.488
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.488
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.488
Here is the final instruction:
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: I need a sparkling bodysuit . No occasion. Just in case. It's my emergency sparkle suit .
Intensity score: | 0.488 | 3 | v_reg | 434 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.355
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.500
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.733
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.422
Here is the final instruction:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "There's no pine in it, there's no apple in it, Let's call it Pineapple #funny". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.774 | 7 | v_reg | 435 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Let's analyze the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.355
Let's analyze the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.500
Let's analyze the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.733
Let's analyze the sentiment intensity of the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.422
Here is the final instruction:
Let's analyze the sentiment intensity of the tweet "Smartest way through any complex, hard & lengthy negotiation is to #consult, not #insult - #BoJo please take note. Never too late to learn!". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.484 | 6 | v_reg | 436 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.828
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.828
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.828
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.828
Here is the final instruction:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: A simple wallpaper ever ๐
Intensity score: | 0.828 | 4 | v_reg | 437 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Desired response: 0.355
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Desired response: 0.500
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Desired response: 0.733
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Desired response: 0.422
Here is the final instruction:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @Hayles_101 Delaney keeping up his awesome Manchester United transfer record...\n\n๐ | 0.708 | 5 | v_reg | 438 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.094
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.094
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.094
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.094
Here is the final instruction:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: I cry whenever they call me mico chan ๐ญ
Intensity score: | 0.094 | 1 | v_reg | 439 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Desired response: 0.355
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Desired response: 0.500
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Desired response: 0.733
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Desired response: 0.422
Here is the final instruction:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @shadowofwargame I am shocked I say, SHOCKED #sarcasm #peoplelikeLOTRALOT | 0.537 | 5 | v_reg | 440 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.435
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.435
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.435
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.435
Here is the final instruction:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: New, and a bit alarming . . .
Intensity score: | 0.435 | 2 | v_reg | 441 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.617
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.617
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.617
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.617
Here is the final instruction:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @rajnathsingh Looking at your smiling face can give any person an adrenaline rush at this moment. Please for your allah's sake do your duty.
Intensity score: | 0.617 | 0 | v_reg | 442 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.468
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.468
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.468
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.468
Here is the final instruction:
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: How odd to watch a mortal kindle\nThen to dwindle day by day.\nKnowing their bright souls are tinder\nAnd the wind will have its way.
Intensity score: | 0.468 | 3 | v_reg | 443 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.333
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.333
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.333
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.333
Here is the final instruction:
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: @beaglerush Do you realize that this literally makes you Hitler? #sarcasm
Intensity score: | 0.333 | 3 | v_reg | 444 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.621
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.621
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.621
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.621
Here is the final instruction:
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: โโIn your anger do not sinโ: Do not let the sun go down while you are still angry,โ\nEphesians 4:26. #blessed #faith #christ #peace
Intensity score: | 0.621 | 3 | v_reg | 445 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Desired response: 0.355
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Desired response: 0.500
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Desired response: 0.733
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Desired response: 0.422
Here is the final instruction:
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: Always laugh when you can, it is cheap medicine ๐คฃ | 0.717 | 9 | v_reg | 446 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Let's analyze the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.355
Let's analyze the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.500
Let's analyze the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.733
Let's analyze the sentiment intensity of the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.422
Here is the final instruction:
Let's analyze the sentiment intensity of the tweet "@interstinman @pandoramusic One nothing else matter enter sandman unforgiving all awesome songs ๐". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.532 | 6 | v_reg | 447 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.550
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.550
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.550
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.550
Here is the final instruction:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @_Nafami_ ๐ He looked like a sea weed version of cousin IT from adams family and was reaaaally tall.
Intensity score: | 0.550 | 1 | v_reg | 448 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Assess the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately..." based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.355
Assess the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.500
Assess the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.733
Assess the sentiment intensity of the tweet "Just want Saturday to be over but then again I want to do good #LSAT" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.422
Here is the final instruction:
Assess the sentiment intensity of the tweet "@realDonaldTrump Yep, slow confirmations. That's what everyone is talking about today. #sarcasm" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative. | 0.467 | 8 | v_reg | 449 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.355
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.500
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.733
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.422
Here is the final instruction:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "โTell me, Doctor, are you afraid of #death?'\n'I guess it depends on how you #die.โ". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.315 | 7 | v_reg | 450 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.683
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.683
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.683
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.683
Here is the final instruction:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @071304Nathan Happy #blissful birthday
Intensity score: | 0.683 | 0 | v_reg | 451 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Let's analyze the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.355
Let's analyze the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.500
Let's analyze the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.733
Let's analyze the sentiment intensity of the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.422
Here is the final instruction:
Let's analyze the sentiment intensity of the tweet "Shoutout to conservatives screaming demanding corrupt Don Jrs emails like they were Hillary's. #sarcasm #crickets". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.417 | 6 | v_reg | 452 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Desired response: 0.355
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Desired response: 0.500
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Desired response: 0.733
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Desired response: 0.422
Here is the final instruction:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @AlanLCross @JaySekulow @seanhannity Thatโs what happened on that show? Well I think that all blows away our expectations ๐ #sarcasm | 0.359 | 5 | v_reg | 453 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Let's analyze the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.355
Let's analyze the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.500
Let's analyze the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.733
Let's analyze the sentiment intensity of the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.422
Here is the final instruction:
Let's analyze the sentiment intensity of the tweet "If you're not eating @TheHotCorner3b lasagna for dinner tonight, you're doing it wrong.". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.484 | 6 | v_reg | 454 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.210
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.210
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.210
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.210
Here is the final instruction:
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: going to sleep was a bad idea i had a horrible nightmare abt what i hate the most in a nightmare but its fine im ok
Intensity score: | 0.210 | 3 | v_reg | 455 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Let's analyze the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.355
Let's analyze the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.500
Let's analyze the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.733
Let's analyze the sentiment intensity of the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.422
Here is the final instruction:
Let's analyze the sentiment intensity of the tweet "@SpacePootler Just ran out of dataโฆ #shiver". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.286 | 6 | v_reg | 456 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.777
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.777
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.777
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.777
Here is the final instruction:
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: I wanted to become the top idol! I will make everyone happy so cheer on me a lotโช
Intensity score: | 0.777 | 3 | v_reg | 457 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.355
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.500
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.733
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.422
Here is the final instruction:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@davidgold @karren_brady My shirt did not arrive today as promised, I even pre-ordered it in June, who do I make my complaint to ?". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.233 | 7 | v_reg | 458 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Let's analyze the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.355
Let's analyze the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.500
Let's analyze the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.733
Let's analyze the sentiment intensity of the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.422
Here is the final instruction:
Let's analyze the sentiment intensity of the tweet "The dictionary words for #joy are โ gladness, cheerfulness, exultation, rapture, pleasure, delight.". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.726 | 6 | v_reg | 459 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.355
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.500
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.733
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.422
Here is the final instruction:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@help_dms___ So good lunch ๐". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.813 | 7 | v_reg | 460 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Desired response: 0.355
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Desired response: 0.500
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Desired response: 0.733
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Desired response: 0.422
Here is the final instruction:
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: Amazing how #grief, #anxiety and #joy can all pull on your heart at the same time, isn't it? #highriskpregnancy #bedrest | 0.442 | 9 | v_reg | 461 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Desired response: 0.355
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Desired response: 0.500
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Desired response: 0.733
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Desired response: 0.422
Here is the final instruction:
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: I'm in such a good place right now, so happy... ๐ I just wanted to share that #positivevibes #optimism #followingmydream | 0.962 | 9 | v_reg | 462 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Assess the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately..." based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.355
Assess the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.500
Assess the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.733
Assess the sentiment intensity of the tweet "Just want Saturday to be over but then again I want to do good #LSAT" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.422
Here is the final instruction:
Assess the sentiment intensity of the tweet "please, more comments from #tweeters that don't look at charts! #adorable $snap" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative. | 0.828 | 8 | v_reg | 463 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.719
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.719
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.719
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.719
Here is the final instruction:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: My patient gave me a business card and it's given me so much glee to grind the thing.
Intensity score: | 0.719 | 1 | v_reg | 464 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Let's analyze the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.355
Let's analyze the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.500
Let's analyze the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.733
Let's analyze the sentiment intensity of the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.422
Here is the final instruction:
Let's analyze the sentiment intensity of the tweet "An email that will never be sent, a message that will remain unsaid, a voice never heard again. #loss #sorrow #Friends". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.200 | 6 | v_reg | 465 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.871
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.871
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right๐๐
Intensity score:
Desired response: 0.871
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.871
Here is the final instruction:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: I start my lpn program this October ๐ #blessed
Intensity score: | 0.871 | 2 | v_reg | 466 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.355
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.500
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "@lawson__lynch my kinda girl pleasing the dick right๐๐". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.733
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.422
Here is the final instruction:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Catching up on Greys, almost couldn't make it through two episodes because of how sad the storyline was. Two best/worst eps for me.". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.306 | 7 | v_reg | 467 |