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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.759
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: 0.759
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 right😍😏
Intensity score:
Desired response: 0.759
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: 0.759
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: Santorini is so beautiful 😍
Intensity score: | 0.759 | 4 | v_reg | 868 |
|
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: 0.793
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: 0.793
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 right😍😏
Intensity score:
Desired response: 0.793
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: 0.793
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: Hello everyone! How are you? Sinong excited na for live shows? Hahaha don't worry we are too 😃😬
Intensity score: | 0.793 | 1 | v_reg | 869 |
|
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 right😍😏". 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 "Haven't been on a holiday abroad in two years how depressing is that btw☹️". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.107 | 7 | v_reg | 870 |
|
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 right😍😏". 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 "@amc4100 You mean you didn't like the giggle?!?!? 😂 #sarcasm". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.548 | 7 | v_reg | 871 |
|
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: 0.781
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: 0.781
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 right😍😏
Intensity score:
Desired response: 0.781
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: 0.781
Here is the final instruction:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: I'm BEYOND entertained 😂 and in this case it's a sad thing to witness 😂😂 watch and loving the dms 😘 #flattered #cantdoitlikeme #poorthing 😋
Intensity score: | 0.781 | 1 | v_reg | 872 |
|
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: 0.371
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: 0.371
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 right😍😏
Intensity score:
Desired response: 0.371
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: 0.371
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: Thank you, @realDonaldTrump, for using the Afghanistan policy of #44... he was pretty smart! \n\nP.S. Do not look directly at the sun! #bad
Intensity score: | 0.371 | 2 | v_reg | 873 |
|
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 right😍😏
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: @BethRigby And you'd even worn an attention-grabbing bright green jacket too... | 0.328 | 5 | v_reg | 874 |
|
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 right😍😏
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 feel bad for people who don't understand my sarcasm. They think I'm mean, but really I'm hysterical & they don't realize it. #sad #funny | 0.232 | 9 | v_reg | 875 |
|
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 right😍😏
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: @Za1d hota hai terrorism ka majhab hota hai and dat is Islam soldiers of allah killing innocent people around the world #RadicalIslam | 0.339 | 5 | v_reg | 876 |
|
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 right😍😏". 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 "Woke up with a horrible cloggy summer cold #attractive 😉😩". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.339 | 6 | v_reg | 877 |
|
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 right😍😏
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: It's a #blessing to love it's a blessing to have someone to love | 0.645 | 5 | v_reg | 878 |
|
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 right😍😏" 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 "max @whitephobe is lit af he rly put up w my dumb ass for abt two yrs ol boy deserves an award <3 i lov him sm hes a delight & a half" 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. | 0.710 | 8 | v_reg | 879 |
|
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: 0.133
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: 0.133
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 right😍😏
Intensity score:
Desired response: 0.133
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: 0.133
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: IT WASN'T ENOUGH 😢
Intensity score: | 0.133 | 1 | v_reg | 880 |
|
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 right😍😏". 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 "Good Night everyone... #goodnight #sleep #nice #great #night #music #day". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.850 | 7 | v_reg | 881 |
|
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: 0.411
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: 0.411
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 right😍😏
Intensity score:
Desired response: 0.411
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: 0.411
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: @WILLLANNO Man u r just bitter about Manu making great strides...
Intensity score: | 0.411 | 0 | v_reg | 882 |
|
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 right😍😏". 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 "They cancelled Chewing Gum. #devastated". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.103 | 6 | v_reg | 883 |
|
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 right😍😏
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: @christinequinty I just knew. #delightful #Eclipse | 0.806 | 5 | v_reg | 884 |
|
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 right😍😏". 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 "Reads two sentences about engagement...yeah...that's enough let's see what social media has to offer. #ironic". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.324 | 6 | v_reg | 885 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.891
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: 0.891
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 right😍😏
Intensity score:
Desired response: 0.891
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: 0.891
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: Welcome new followers @GibbonWa @Halmarun @CleanFaceSkin We will mostly be talking #happiness & #ethicalfashion Happy to connect :)
Intensity score: | 0.891 | 1 | v_reg | 886 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.781
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: 0.781
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 right😍😏
Intensity score:
Desired response: 0.781
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: 0.781
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: @Deb_Renee Good morning, you're very welcome awesome lady 🤗 😍
Intensity score: | 0.781 | 0 | v_reg | 887 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Assess the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately..." based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.355
Assess the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.500
Assess the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right😍😏" 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 "@kathryn_dennis keep your head clear an focused. Do not let T intimidate you or use your children to silence you! Hate when a man does that!" 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. | 0.552 | 8 | v_reg | 888 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Desired response: 0.355
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Desired response: 0.500
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @lawson__lynch my kinda girl pleasing the dick right😍😏
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: She'll leave you with a smile | 0.758 | 5 | v_reg | 889 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Evaluate the sentiment intensity or valence score of the tweet, providing a numerical assessment from 0 (very negative) to 1 (very positive), indicating the emotional orientation expressed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.296
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: 0.296
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 right😍😏
Intensity score:
Desired response: 0.296
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: 0.296
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: @Teenique yessss waiting for an epi is for the birds. it sucks. im waiting for walking dead new season😩
Intensity score: | 0.296 | 1 | v_reg | 890 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Let's analyze the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.355
Let's analyze the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.500
Let's analyze the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right😍😏". 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 "They say money can't buy happiness... Retweet this if you'd be happy with 27 Million Dollars.". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.656 | 6 | v_reg | 891 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Assess the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately..." based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.355
Assess the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.500
Assess the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right😍😏" 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 "@ClairePotter @Mermaids_March @2minbeachclean Woohoo! Enjoy Claire! Happy Tuesday :D" 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. | 0.883 | 8 | v_reg | 892 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Assess the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately..." based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.355
Assess the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland" based on the mood of the author. Offer a numerical rating between 0 and 1, with 1 representing highly positive and 0 representing highly negative.
Desired response: 0.500
Assess the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right😍😏" 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 man without a smiling face must not open a shop. -Chinese Proverb" 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. | 0.500 | 8 | v_reg | 893 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.242
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: 0.242
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 right😍😏
Intensity score:
Desired response: 0.242
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: 0.242
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: Fed up of smiling at old people and getting dirty looks in return. Go fuck yourself Mildred you miserable prick
Intensity score: | 0.242 | 4 | v_reg | 894 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Let's analyze the sentiment intensity of the tweet "@Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.355
Let's analyze the sentiment intensity of the tweet "Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive.
Desired response: 0.500
Let's analyze the sentiment intensity of the tweet "@lawson__lynch my kinda girl pleasing the dick right😍😏". 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 "@Good_Therapy and @CounsellorsCaf are talking about #depression today! What's trending in your community?". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.521 | 6 | v_reg | 895 |
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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: 0.741
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 right😍😏
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: @itsjordansroom Good Morning to you as well Miss Jordan!! Have a cheerful day!
Intensity score: | 0.741 | 2 | v_reg | 896 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Desired response: 0.355
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Desired response: 0.500
Evaluate the valence intensity of the following tweet, considering the mental state of the author. Present a score between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive sentiment.
Tweet: @lawson__lynch my kinda girl pleasing the dick right😍😏
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: Goodevening 😆 | 0.679 | 9 | v_reg | 897 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Desired response: 0.355
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Desired response: 0.500
Evaluate the valence intensity of the following tweet, considering the mood of the author. Give a score between 0 and 1 inclusive, where 0 is the most negative and 1 is the most positive.
Tweet: @lawson__lynch my kinda girl pleasing the dick right😍😏
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: Good morning family to all of you who took the time to wish mom a HAPPY BIRTHDAY Thank you from my ❤ love you be blessed | 0.906 | 5 | v_reg | 898 |
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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: 0.258
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: 0.258
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 right😍😏
Intensity score:
Desired response: 0.258
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: 0.258
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: @Miss_Wisconsin It's amazing what not being told no enough can raise. #horrid
Intensity score: | 0.258 | 2 | v_reg | 899 |
|
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 right😍😏" 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 "When do you feel the hungriest?\nThe night before I start a new #diet .\n#hungry #food #HealthyEating #trying #new #funny" 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. | 0.564 | 8 | v_reg | 900 |
|
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 right😍😏" 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 "@dp_srk_rk It's going 3 only. He has berdych tomorrow. Nothing to worry. Easiest draw" 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. | 0.468 | 8 | v_reg | 901 |
|
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 right😍😏
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: @deray Someone needs to speak for the frat boys #sarcasm | 0.323 | 5 | v_reg | 902 |
|
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: 0.852
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: 0.852
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 right😍😏
Intensity score:
Desired response: 0.852
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: 0.852
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: Best evening adult drink w/chocolate #satisfaction is @Nestle DARK hot chocolate + chili powder + cinnamon + whiskey #delicious ☕️
Intensity score: | 0.852 | 1 | v_reg | 903 |
|
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: 0.267
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: 0.267
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 right😍😏
Intensity score:
Desired response: 0.267
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: 0.267
Here is the final instruction:
Task: Analyze the sentiment intensity or valence level exhibited in the tweet, assigning a score on a continuum from 0 (extreme negativity) to 1 (extreme positivity), capturing the emotional context conveyed.
Tweet: I've been awake for 451 days 23 hours and I'm sleepy and tired #weary #raspberrypi #nodered #bot #iot #sunshinecoast
Intensity score: | 0.267 | 2 | v_reg | 904 |
|
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: 0.438
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: 0.438
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 right😍😏
Intensity score:
Desired response: 0.438
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: 0.438
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: @CrystalSuicide I see that #sarcasm
Intensity score: | 0.438 | 0 | v_reg | 905 |
|
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: 0.823
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: 0.823
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 right😍😏
Intensity score:
Desired response: 0.823
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: 0.823
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: @ThePURCompany I have tried #PUR Mojito Lime mints They are #delicious 😘Happy #NationalMojitoDay to all #contest #win ✅💚
Intensity score: | 0.823 | 0 | v_reg | 906 |
|
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: 0.607
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: 0.607
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 right😍😏
Intensity score:
Desired response: 0.607
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: 0.607
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: When his ex stops being a jealous psycho.............after yous are split 😂😂 #ironic 🤔
Intensity score: | 0.607 | 2 | v_reg | 907 |
|
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: 0.258
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: 0.258
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 right😍😏
Intensity score:
Desired response: 0.258
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: 0.258
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: It's tough when people give up on their friends because of politics. #irony is a bitch. #relatable
Intensity score: | 0.258 | 1 | v_reg | 908 |
|
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: 0.083
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: 0.083
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 right😍😏
Intensity score:
Desired response: 0.083
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: 0.083
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: @chuckwoolery I Feel sick reading this, when does it end? #dread #civil war? #sad
Intensity score: | 0.083 | 2 | v_reg | 909 |
|
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: 0.547
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: 0.547
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 right😍😏
Intensity score:
Desired response: 0.547
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: 0.547
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: Wouldn't it be fantastic if it was discovered that DJT Jr. forwarded that email to his father... #irony
Intensity score: | 0.547 | 1 | v_reg | 910 |
|
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 right😍😏". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.733
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "Just want Saturday to be over but then again I want to do good #LSAT". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment.
Desired response: 0.422
Here is the final instruction:
Determine the valence intensity of the tweeter's mental state conveyed in the tweet "no offense to those who love k culture, u can love it all you want bbs!! 💖 but i just personally want to get to know my own country's-". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.645 | 7 | v_reg | 911 |
|
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 right😍😏". 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 "Trump, standing on stage next to @EmmanuelMacron (39) defending his idiot son @DonaldJTrumpJr (39), calling him a 'fine young man' #ironic". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.276 | 7 | v_reg | 912 |
|
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: 0.397
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: 0.397
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 right😍😏
Intensity score:
Desired response: 0.397
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: 0.397
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: Woke up to what appears to be either a sinus or ear infection. This week is off to a great start so far.
Intensity score: | 0.397 | 1 | v_reg | 913 |
|
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: 0.806
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: 0.806
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 right😍😏
Intensity score:
Desired response: 0.806
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: 0.806
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: @gammarus @Steel_Con @Scott_Helme People know your serious now brother! #awesome
Intensity score: | 0.806 | 2 | v_reg | 914 |
|
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: 0.667
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: 0.667
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 right😍😏
Intensity score:
Desired response: 0.667
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: 0.667
Here is the final instruction:
Task: Determine the valence intensity of the tweet, indicating a degree of positivity or negativity on a scale from 0 (strongly negative) to 1 (strongly positive), reflecting the emotional content expressed.
Tweet: Going to bed with dry and clean hair. #blessing
Intensity score: | 0.667 | 3 | v_reg | 915 |
|
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: 0.375
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: 0.375
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 right😍😏
Intensity score:
Desired response: 0.375
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: 0.375
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: @Taylor_Stanton3 @realChadJohnson 0% butt hurt, friend, just tried to make a joke. Should've put #sarcastic at the end.
Intensity score: | 0.375 | 4 | v_reg | 916 |
|
In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.450
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity score:
Desired response: 0.450
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: @lawson__lynch my kinda girl pleasing the dick right😍😏
Intensity score:
Desired response: 0.450
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity score:
Desired response: 0.450
Here is the final instruction:
Task: Quantify the valence intensity of the tweet, assigning it a value between 0 (highly negative) and 1 (highly positive), reflecting the emotional tone conveyed.
Tweet: Jellyfish are turtles' food, turtles that you kill by throwing YOUR plastic wastes in the sea. So don't complain when they sting your ass.
Intensity score: | 0.450 | 0 | v_reg | 917 |
|
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: 0.935
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: 0.935
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 right😍😏
Intensity score:
Desired response: 0.935
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: 0.935
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: #31DaysOfJoy Laughter brings me so much joy! It's good for the ❤️. #laughter #laughterishealing #laughterisgoodforthesoul
Intensity score: | 0.935 | 1 | v_reg | 918 |
|
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: 0.141
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: 0.141
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 right😍😏
Intensity score:
Desired response: 0.141
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: 0.141
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: .@PayPal why do you always make it so incredibly difficult to do anything or get anything resolved? #customerservice #sucks
Intensity score: | 0.141 | 1 | v_reg | 919 |
|
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 right😍😏" 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 "My main concern are the children and his wife thats if she is still stuck with him and if she is, then she's strong af. Jeez 😟" 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. | 0.220 | 8 | v_reg | 920 |
|
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: 0.629
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: 0.629
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 right😍😏
Intensity score:
Desired response: 0.629
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: 0.629
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 stupidest and weirdest thing people do. And what's more stupid than that? They upload it online. Oh my god. But good for laughter ah. 🤣🤣
Intensity score: | 0.629 | 2 | v_reg | 921 |
|
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 right😍😏". 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 want a friendship group like in Friends 😧". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.484 | 6 | v_reg | 922 |
|
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: 0.371
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: 0.371
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 right😍😏
Intensity score:
Desired response: 0.371
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: 0.371
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: @whutyearisit Conforto striking out like that, what a loser #sarcasm #metstwitter
Intensity score: | 0.371 | 2 | v_reg | 923 |
|
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 right😍😏" 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 "Choose someone who makes you laugh #😂" 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. | 0.667 | 8 | v_reg | 924 |
|
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 right😍😏" 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 "I love it when my coworker talks to me about the most recent episode of a show I don't watch.... #sarcasm #idontgiveafuck" 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 | 925 |
|
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 right😍😏". 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 "It's a good morning today and I'm feeling lively 😊 #goodmorning #happy #lively". Assign a real number between 0 and 1, where 0 indicates extremely negative and 1 indicates extremely positive. | 0.817 | 6 | v_reg | 926 |
|
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 right😍😏". 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 "Cream tea @NTColbyGarden #delicious". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.767 | 7 | v_reg | 927 |
|
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 right😍😏
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: Thousands of pickled certified ostrogoths ! #angry | 0.234 | 5 | v_reg | 928 |
|
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 right😍😏" 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 #pessimist sees the difficulty in every #opportunity; an #optimist sees the opportunity in every difficulty.' —Winston Churchill #quote" 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. | 0.607 | 8 | v_reg | 929 |
|
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: 0.435
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: 0.435
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 right😍😏
Intensity score:
Desired response: 0.435
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: 0.435
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: @Gabriel_4EVR @drassenov @R17L29XI No, it's the lack of games for sure. #sarcasm
Intensity score: | 0.435 | 0 | v_reg | 930 |
|
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: 0.845
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: 0.845
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 right😍😏
Intensity score:
Desired response: 0.845
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: 0.845
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: Nice to be able to turn the alarm clock off until next Tuesday morning. #awesome
Intensity score: | 0.845 | 0 | v_reg | 931 |
|
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 right😍😏". 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 "Premier League Teams should fear next seasons Arsenal's XI. #coyg #afc". Provide a score from 0 to 1, where 1 signifies very positive and 0 signifies very negative sentiment. | 0.507 | 7 | v_reg | 932 |
|
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 right😍😏
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: how are you my love? @Hashtag_DonJon love youu!! thanks for the smile, that motivates me to keep going!! 💛 so blessed to have you 😊 | 0.867 | 9 | v_reg | 933 |
|
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: 0.516
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: 0.516
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 right😍😏
Intensity score:
Desired response: 0.516
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: 0.516
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: 'She is the clothed with strength and dignity, and she laughs without fear of the future.' 💛🌿 @jessconte
Intensity score: | 0.516 | 2 | v_reg | 934 |
|
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: 0.823
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: 0.823
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 right😍😏
Intensity score:
Desired response: 0.823
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: 0.823
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: My dads big day is only less than 2 weeks away. 😱 #excited
Intensity score: | 0.823 | 0 | v_reg | 935 |
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In the following section, there are 5 instructions and 4 of them also has their desired responses. You will predict the desired response for the final instruction. Your answer should only contain your prediction for the final instruction, and nothing else. Here are the example instructions and their desired responses:
Task: Assess the sentiment intensity or valence magnitude of the tweet, providing a rating between 0 (most negative) and 1 (most positive), reflecting the emotional depth conveyed in the message.
Tweet: @Theresa_Talbot @fleurrbie Haha...sorry about the dreadful puns... I need to get out more....I've been cooped up lately...
Intensity score:
Desired response: 0.141
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: 0.141
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 right😍😏
Intensity score:
Desired response: 0.141
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: 0.141
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: And let the depression take the stage once more 🙃
Intensity score: | 0.141 | 4 | v_reg | 936 |