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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: 0.783
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: 0.783
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: 0.783
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: 0.783
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: This rain had me dancing in the street #rejoice #rejoice #thetimeofgreatsorrowisover
Intensity score: | 0.783 | 2 | v_reg | 768 |
|
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 "@realDonaldTrump says the guy who revealed \n#topsecret information to the #Russians #irony also, it's unverified, you punk.". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.258 | 7 | v_reg | 769 |
|
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: 0.875
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: 0.875
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: 0.875
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: 0.875
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: @MartinPincot Haha @MartinPincot - just sent a sext to the vicar with a holy, holy, twist --- My bad ๐\n \n#Fun #joy #laughter \n๐ฟ ..... ๐
Intensity score: | 0.875 | 4 | v_reg | 770 |
|
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 "@realDonaldTrump PS. I thoight your investigation was the: 'greatest witch hunt.?' Wow, something is better than yours! #sarcasm". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.500 | 6 | v_reg | 771 |
|
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 "Found out the peraon i liked wanted to that someone else #sadness". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.153 | 7 | v_reg | 772 |
|
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 "finnish 'table manners', to the extent they exist, seem to include only self sufficiency and not getting in people's way so it's hilarious". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.625 | 7 | v_reg | 773 |
|
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: @gogreen18 Trans people love being reminded that they'll never be complete. #sarcasm #comicsans | 0.481 | 9 | v_reg | 774 |
|
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: 0.806
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: 0.806
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: 0.806
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: 0.806
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: @Walu2go @ThisisLukeOwen Yes it is. I especially love the ramble chat love when they go off topic for like ten minutes. #awesomeness
Intensity score: | 0.806 | 0 | v_reg | 775 |
|
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: 0.778
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: 0.778
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: 0.778
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: 0.778
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: The enjoyment of seeing the same thing your ex did to you happen to them! #karma #๐ #whatgoesaroundcomesaround
Intensity score: | 0.778 | 4 | v_reg | 776 |
|
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: 0.145
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: 0.145
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: 0.145
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: 0.145
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: @prisonerben1 Try explaining to Joe Public these charities do not simply give offenders 'treats' #despair
Intensity score: | 0.145 | 3 | v_reg | 777 |
|
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: @Bombardier Joyeux anniversaire / Happy birthday Bombardier Inc. :) | 0.828 | 5 | v_reg | 778 |
|
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: 0.613
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: 0.613
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: 0.613
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: 0.613
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: @executivegoth I tried a free Alpha trial to watch #dread and I'm sold. Worth the subscription alone. You all are incredible!
Intensity score: | 0.613 | 4 | v_reg | 779 |
|
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: 0.654
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: 0.654
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: 0.654
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: 0.654
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: @PuddlesPityP Witnessed #totality, overcome with insane awe & emotion. Son equated to witnessing your talent. #hegetsit #cry #eclipse2017
Intensity score: | 0.654 | 3 | v_reg | 780 |
|
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: 0.483
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: 0.483
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: 0.483
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: 0.483
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: @KEEMSTAR I mean see tge point but it is a lively hood for some. Really the only ones that should complain are...
Intensity score: | 0.483 | 2 | v_reg | 781 |
|
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: 0.290
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: 0.290
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: 0.290
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: 0.290
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: Signs of Incipient Faggotry are the arsehole quivering and puckering.
Intensity score: | 0.290 | 2 | v_reg | 782 |
|
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: 0.923
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: 0.923
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: 0.923
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: 0.923
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: Beautiful morning at the beach on Anna Maria Island with my wife. #vacation #blessed #happy
Intensity score: | 0.923 | 1 | v_reg | 783 |
|
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: 0.483
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: 0.483
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: 0.483
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: 0.483
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: Tomorrow should be interesting if info is being released re away priority & Canalside membership! #outrage #htafc
Intensity score: | 0.483 | 4 | v_reg | 784 |
|
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: @whatthefarrugia still trembling | 0.234 | 9 | v_reg | 785 |
|
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 "@DaaruBaazMehta Prime Minister of India & Home Minister of India are responsible to take strict action against BJP ๐ ๐ #sarcasm". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.370 | 7 | v_reg | 786 |
|
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: @_lanimoreno and I had Chem, Anatomy, and now IB Sports together (': #amazing | 0.970 | 9 | v_reg | 787 |
|
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 "@WalmartToday your hitting it spot on with your commercials. Love the one with the town coming to eat and bringing chairs. #brilliant". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.740 | 7 | v_reg | 788 |
|
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: 0.567
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: 0.567
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: 0.567
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: 0.567
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: @RegPCB I like a world where Love Island drarms is the worst thing I've got to worry about.
Intensity score: | 0.567 | 1 | v_reg | 789 |
|
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 "@TimHortons Please please PLEASE make your jalapeรฑo jack sandwich a regular! I LOOOVE it!!!". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.710 | 7 | v_reg | 790 |
|
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: Is it okay to think you are going to die alone? #sadness | 0.052 | 5 | v_reg | 791 |
|
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: 0.667
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: 0.667
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: 0.667
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: 0.667
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: Thank you for the M line construction @MTA . Sincerely, all J train riders Essex to Bway Junction. #nycsubway
Intensity score: | 0.667 | 4 | v_reg | 792 |
|
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: Woke up to my neighbors singing Perfect by Ed Sheeran. ๐ My mood has been set. ๐ | 0.871 | 5 | v_reg | 793 |
|
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: @jaketapper So badly they talked adoption for 20 min. I would certainly trust what a Russian agent says. #sarcasm | 0.350 | 5 | v_reg | 794 |
|
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: my name is sara, im 20 years old and i cant believe boiling an onion is making me cry | 0.161 | 9 | v_reg | 795 |
|
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: 0.821
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: 0.821
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: 0.821
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: 0.821
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: Just seeing school idols fills me with energy, makes me want to cheer for them and makes me also want to sing and dance together with them!
Intensity score: | 0.821 | 0 | v_reg | 796 |
|
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: 0.833
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: 0.833
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: 0.833
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: 0.833
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: beautiful day Lord has made let us rejoice & be glad in it & rejoice Hillary NOT president! God bless POTUS & United States of America๐บ๐ธ๐
Intensity score: | 0.833 | 3 | v_reg | 797 |
|
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 "All the proud parents on fb about their kids school report and am shitting myself for Graces arriving ๐๐๐ #troublemaker". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.597 | 7 | v_reg | 798 |
|
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 "@AppleSupport worst customer service. 3days to get a diagnostic appt?! #disappointing #ittakes3minutestorunadiagnostic". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.210 | 7 | v_reg | 799 |
|
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: 0.897
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: 0.897
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: 0.897
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: 0.897
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: @NathanSykes Happy Tuesday. I hope you have an amazing day. Proud of you & blessed to know you. You make my world better by being in it.โค๏ธ
Intensity score: | 0.897 | 4 | v_reg | 800 |
|
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 "happy birthday girly, hope you have an amazing day :) @kkarlidawson" 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 | 801 |
|
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: 0.393
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: 0.393
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: 0.393
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: 0.393
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: @cyclingweekly 'shocking' ??? Nah that's not Shocking . Richie Portes crash ...THAT WAS shocking . #tourdefrance2017
Intensity score: | 0.393 | 1 | v_reg | 802 |
|
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: 0.581
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: 0.581
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: 0.581
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: 0.581
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: Good Morning #start 2Wheel #free course *Pune *8888006565
Intensity score: | 0.581 | 0 | v_reg | 803 |
|
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: 0.234
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: 0.234
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: 0.234
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: 0.234
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: Lugubrious face, crestfallen eyes, forlorn heart and an agitated soul seeking serenity.
Intensity score: | 0.234 | 1 | v_reg | 804 |
|
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 "Just when you thought the weather would be peachy for the rest of the day, downpour happens. #murphysucks #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. | 0.210 | 8 | v_reg | 805 |
|
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: 0.419
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: 0.419
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: 0.419
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: 0.419
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: 13) mutual whos always online - @Lafa_YEET bc we have to bully her to get to sleep
Intensity score: | 0.419 | 4 | v_reg | 806 |
|
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 "Stranger Things S2 25secs teaser! #excited ๐ฒ" 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. | 0.891 | 8 | v_reg | 807 |
|
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 "I'm extra lazy today ๐". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.317 | 7 | v_reg | 808 |
|
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: @weareremixes yeah he's delicious no need to threaten me | 0.500 | 9 | v_reg | 809 |
|
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 "Great start. Exciting new innovation = new challenges. @VisaSecurity #VSS2017 #brilliance". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.645 | 6 | v_reg | 810 |
|
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: 0.200
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: 0.200
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: 0.200
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: 0.200
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: @KokuKokuBoo It's kay. They were my main healer/caster in HW...but not for SB (for now) sadly.
Intensity score: | 0.200 | 2 | v_reg | 811 |
|
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: trying my best to be happy :-)
Intensity score: | 0.617 | 0 | v_reg | 812 |
|
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 "Any #GOP senator who refuses to #RepealAndReplace needs to bear the #wrath of their constituents @ polls home state! #healthcare #price2pay". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.347 | 7 | v_reg | 813 |
|
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 "Ready to start my day after practising my daily #meditation.Today's focus was on #gratitude and there are so many things to be #grateful for". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.759 | 7 | v_reg | 814 |
|
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: 0.947
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: 0.947
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: 0.947
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: 0.947
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: @PaulCalafiore_ Absolutely ! Happy blessed Tuesday โค๏ธ
Intensity score: | 0.947 | 0 | v_reg | 815 |
|
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 "2nd time this week I received services for free. It pays to be nice! #kindness #friendliness #bekind #smile". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.919 | 7 | v_reg | 816 |
|
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 "@MarcMero Happy Anniversary!! Have a great day!!". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.911 | 6 | v_reg | 817 |
|
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: 0.758
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: 0.758
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: 0.758
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: 0.758
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: A beautiful day starts with you being cheerful and letting the #joy of the #Lord spring out of you <3\n\nNelly Cruz
Intensity score: | 0.758 | 2 | v_reg | 818 |
|
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: 0.305
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: 0.305
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: 0.305
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: 0.305
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 just tore my 2nd meniscus in 2 months what the fuck have you accomplished. But seriously, reaching maniacal laughter pain/WTF, self?-ness
Intensity score: | 0.305 | 3 | v_reg | 819 |
|
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: 0.467
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: 0.467
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: 0.467
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: 0.467
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: @NRA The NRA deriding another sellout? #irony
Intensity score: | 0.467 | 2 | v_reg | 820 |
|
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: 0.534
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: 0.534
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: 0.534
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: 0.534
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: @emilyhroderick Electronics also have foibles, personality faults, like to sulk and crash just like humans... switch off and desolder
Intensity score: | 0.534 | 1 | v_reg | 821 |
|
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: 0.741
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: 0.741
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: 0.741
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: 0.741
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: #note8 #animated said pen. Amazing. Wife loves this one
Intensity score: | 0.741 | 2 | v_reg | 822 |
|
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: 0.281
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: 0.281
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: 0.281
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: 0.281
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: Do not linger too long near the howff or you risk the displeasure of a chuhaister with pubes more underwhelming than those of an aurochs.
Intensity score: | 0.281 | 0 | v_reg | 823 |
|
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 "DC Young fly is hilarious man." 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. | 0.774 | 8 | v_reg | 824 |
|
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: @ledfordshyenne Little piggy ๐ | 0.581 | 5 | v_reg | 825 |
|
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: 0.767
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: 0.767
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: 0.767
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: 0.767
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: This is the day that the lord has made I will rejoice and BE GLAD IN IT! ๐๐ฟ๐ #blessed #favored #loved #
Intensity score: | 0.767 | 2 | v_reg | 826 |
|
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: 0.517
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: 0.517
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: 0.517
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: 0.517
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: Stuck between a rock and a hard place #great
Intensity score: | 0.517 | 2 | v_reg | 827 |
|
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 love his smile". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.741 | 6 | v_reg | 828 |
|
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: The formula of happiness rather than inertia. #elated | 0.776 | 9 | v_reg | 829 |
|
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 "A person #hates u for 1 of 3 reasons. They 1) want 2b U; 2) #hate themselves. 3) C U as a #threat. (& don't tell me hate doesn't exist!)" 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. | 0.391 | 8 | v_reg | 830 |
|
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: 0.643
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: 0.643
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: 0.643
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: 0.643
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: mum got out of a rlly bad car crash completely not injured and i found a rlly sentimental piece of jewellery i thought i'd lost #blessed
Intensity score: | 0.643 | 2 | v_reg | 831 |
|
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: 0.667
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: 0.667
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: 0.667
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: 0.667
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: It's okay sus. Let that hurt go ๐ค * that's me hugging ya bitter ass * ๐๐๐
Intensity score: | 0.667 | 2 | v_reg | 832 |
|
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: 0.407
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: 0.407
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: 0.407
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: 0.407
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: oh no now that i'm back home i actually have to figure out what i'm gonna do with my life #brilliant ๐
Intensity score: | 0.407 | 1 | v_reg | 833 |
|
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: 0.383
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: 0.383
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: 0.383
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: 0.383
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: @edgeoforever @docrocktex26 I think I speak for all when I say 'not until @ggreenwald agrees!' Or at least, 'yeah but Clinton...' #sarcasm
Intensity score: | 0.383 | 3 | v_reg | 834 |
|
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: 0.607
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: 0.607
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: 0.607
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: 0.607
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: Life is great. #sarcasm
Intensity score: | 0.607 | 4 | v_reg | 835 |
|
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: 0.323
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: 0.323
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: 0.323
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: 0.323
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: Just a side #thought, everything takes #time and #effort ... #annoyed
Intensity score: | 0.323 | 3 | v_reg | 836 |
|
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: Just added a copy of CANDIDE to my local Little Free Library & a guy grabbed it literally 5 seconds later #optimism #BestOfAllPossibleWorlds | 0.567 | 5 | v_reg | 837 |
|
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 "@Mike_J_Lord You're welcome 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. | 0.603 | 8 | v_reg | 838 |
|
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: 0.344
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: 0.344
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: 0.344
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: 0.344
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: Why hasn't my alarm gone off... ๐ค๐ฉโฐ
Intensity score: | 0.344 | 1 | v_reg | 839 |
|
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: 0.517
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: 0.517
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: 0.517
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: 0.517
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: Just finished writing 'thunder' on a graphic as thunder occurred #ironic
Intensity score: | 0.517 | 0 | v_reg | 840 |
|
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 "@JYSexton Lucky you aren't a biased Lib-tard. All your tweets seem super-unbiased and legit. #sarcasm". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.516 | 7 | v_reg | 841 |
|
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: 0.339
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: 0.339
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: 0.339
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: 0.339
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: @COFFEECOWal Really Sad News, it's been a pleasure over the years, all the best for the future.
Intensity score: | 0.339 | 2 | v_reg | 842 |
|
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 "Today is already off to a great start..... ๐". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.786 | 6 | v_reg | 843 |
|
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 "@fuzzbish @LouiseMensch @realDonaldTrump Ha ha! Trump supporter calls someone else a narcissist! #irony" 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 | 844 |
|
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: @KerryKatona7 Stunner cute like her mum ๐ | 0.810 | 5 | v_reg | 845 |
|
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: @NCSNorthEast @NCS It'll start on Sunday when the first groups depart :) | 0.531 | 9 | v_reg | 846 |
|
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 "@NationalGeoAr Waw so loyal and honorable ๐ #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. | 0.379 | 8 | v_reg | 847 |
|
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: 0.264
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: 0.264
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: 0.264
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: 0.264
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: TARED tabby abaci rabid each dabs
Intensity score: | 0.264 | 3 | v_reg | 848 |
|
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: Just tried @GoodmanBakery for the 1st time... GF for 13 yrs & these are some of the best baked goods I've ever had! DF is a bonus! #yummy
Intensity score: | 0.845 | 2 | v_reg | 849 |
|
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: 0.429
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: 0.429
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: 0.429
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: 0.429
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: @DOBrienAJC What did you do to rile up all the Roberts?
Intensity score: | 0.429 | 3 | v_reg | 850 |
|
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 "Life is a #blessing" 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. | 0.783 | 8 | v_reg | 851 |
|
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: 0.859
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: 0.859
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: 0.859
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: 0.859
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: Thank you for sending random kind people into my life when I need them the most #smiling #grateful
Intensity score: | 0.859 | 0 | v_reg | 852 |
|
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: 0.767
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: 0.767
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: 0.767
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: 0.767
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: never had a dull moment with u guys ๐
Intensity score: | 0.767 | 1 | v_reg | 853 |
|
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 "@cnn please get Sebstian Gorka off of my tv. The whole trump admin. needs to stop deflecting by talking about Hillary. #awful". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.194 | 7 | v_reg | 854 |
|
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 the wholesome drunk that sends people memes and compliments them at 2am on snap | 0.743 | 9 | v_reg | 855 |
|
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: 0.258
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: 0.258
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: 0.258
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: 0.258
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: I feel like it's taken me like 6 months to understand what net neutrality is but like...fucking capitalists I'm
Intensity score: | 0.258 | 0 | v_reg | 856 |
|
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: 0.603
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: 0.603
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: 0.603
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: 0.603
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: Up early. Kicking ass and taking names. #offense.
Intensity score: | 0.603 | 0 | v_reg | 857 |
|
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 "if jk realize what taehyung did can he do that to taehyung as a revenge? i would love to". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.483 | 7 | v_reg | 858 |
|
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 "'Too often we give children answers to remember rather than problems to solve' Roger Lewin Terrific :) Tuesday" 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. | 0.411 | 8 | v_reg | 859 |
|
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: 0.468
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: 0.468
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: 0.468
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: 0.468
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: Well. At least #DonaldTrumpJr is finally the headline. The least of the #Trump children. Finally stepping up. #sarcasm
Intensity score: | 0.468 | 1 | v_reg | 860 |
|
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 "@eavesdropann My pleasure my dear. ๐". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.821 | 6 | v_reg | 861 |
|
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: 0.694
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: 0.694
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: 0.694
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: 0.694
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: The #buthisemails meme is hilarity.
Intensity score: | 0.694 | 2 | v_reg | 862 |
|
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: Maggie Smith does not get the credit she deserves ๐ hilarious and brilliant actress! | 0.900 | 9 | v_reg | 863 |
|
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: @dwarsrivier_SA Welcome to the industry fellow #guides! Expect a future of #excitement, #hairraising tales and just allround #fun! :D | 0.806 | 9 | v_reg | 864 |
|
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: You turned my world with a smile, and you take my heart with a kiss | 0.823 | 9 | v_reg | 865 |
|
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: @GarimaGupta1508 @SHEROESIndia missing it! Look forward to seeing you all in #Bangalore soon ๐ | 0.734 | 5 | v_reg | 866 |
|
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 "@SylvesterTurner @HoustonMatters With all the other stuff going on in houston #crime you spend your time bullying the homeless #wonderful". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.259 | 7 | v_reg | 867 |