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How to spot a fashion-#Feminist - they claim feminism is about equality. Feminist actions demonstrate otherwise. #SemST
|
Feminist Movement
|
against
|
1. The tweet explicitly expresses opinion about the target, a part of the target, or an aspect of the target.
|
neg
|
AGAINST
|
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: How to spot a fashion-#Feminist - they claim feminism is about equality. Feminist actions demonstrate otherwise. #SemST
Stance towards the target Feminist Movement: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: How to spot a fashion-#Feminist - they claim feminism is about equality. Feminist actions demonstrate otherwise. #SemST \n Stance towards the target Feminist Movement:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer should contain only a single word taken from the list [support, against, none]. Tweet: How to spot a fashion-#Feminist - they claim feminism is about equality. Feminist actions demonstrate otherwise. #SemST
Stance towards the target Feminist Movement: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer should contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: How to spot a fashion-#Feminist - they claim feminism is about equality. Feminist actions demonstrate otherwise. #SemST \n Stance towards the target Feminist Movement:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer must contain only a single word taken from the list [support, against, none]. Tweet: How to spot a fashion-#Feminist - they claim feminism is about equality. Feminist actions demonstrate otherwise. #SemST
Stance towards the target Feminist Movement: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer must contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: How to spot a fashion-#Feminist - they claim feminism is about equality. Feminist actions demonstrate otherwise. #SemST \n Stance towards the target Feminist Movement:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST
Stance towards the target Atheism: support
Tweet: How to spot a fashion-#Feminist - they claim feminism is about equality. Feminist actions demonstrate otherwise. #SemST
Stance towards the target Feminist Movement: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST \n Stance towards the target Atheism:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
},
{
"content": "Tweet: How to spot a fashion-#Feminist - they claim feminism is about equality. Feminist actions demonstrate otherwise. #SemST \n Stance towards the target Feminist Movement:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: How to spot a fashion-#Feminist - they claim feminism is about equality. Feminist actions demonstrate otherwise. #SemST
Stance towards the target Feminist Movement: Lets think about this step by step. against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: How to spot a fashion-#Feminist - they claim feminism is about equality. Feminist actions demonstrate otherwise. #SemST \n Stance towards the target Feminist Movement: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
I only ever see "meritocracy is a myth" being pushed by people with no skills trying to buddy-buddy their way to the top. Hmm. #SemST
|
Feminist Movement
|
none
|
2. The tweet does NOT expresses opinion about the target but it HAS opinion about something or someone other than the target.
|
neg
|
NONE
|
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: I only ever see "meritocracy is a myth" being pushed by people with no skills trying to buddy-buddy their way to the top. Hmm. #SemST
Stance towards the target Feminist Movement: none
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: I only ever see \"meritocracy is a myth\" being pushed by people with no skills trying to buddy-buddy their way to the top. Hmm. #SemST \n Stance towards the target Feminist Movement:",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer should contain only a single word taken from the list [support, against, none]. Tweet: I only ever see "meritocracy is a myth" being pushed by people with no skills trying to buddy-buddy their way to the top. Hmm. #SemST
Stance towards the target Feminist Movement: none
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer should contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: I only ever see \"meritocracy is a myth\" being pushed by people with no skills trying to buddy-buddy their way to the top. Hmm. #SemST \n Stance towards the target Feminist Movement:",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer must contain only a single word taken from the list [support, against, none]. Tweet: I only ever see "meritocracy is a myth" being pushed by people with no skills trying to buddy-buddy their way to the top. Hmm. #SemST
Stance towards the target Feminist Movement: none
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer must contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: I only ever see \"meritocracy is a myth\" being pushed by people with no skills trying to buddy-buddy their way to the top. Hmm. #SemST \n Stance towards the target Feminist Movement:",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST
Stance towards the target Atheism: support
Tweet: I only ever see "meritocracy is a myth" being pushed by people with no skills trying to buddy-buddy their way to the top. Hmm. #SemST
Stance towards the target Feminist Movement: none
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST \n Stance towards the target Atheism:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
},
{
"content": "Tweet: I only ever see \"meritocracy is a myth\" being pushed by people with no skills trying to buddy-buddy their way to the top. Hmm. #SemST \n Stance towards the target Feminist Movement:",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: I only ever see "meritocracy is a myth" being pushed by people with no skills trying to buddy-buddy their way to the top. Hmm. #SemST
Stance towards the target Feminist Movement: Lets think about this step by step. none
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: I only ever see \"meritocracy is a myth\" being pushed by people with no skills trying to buddy-buddy their way to the top. Hmm. #SemST \n Stance towards the target Feminist Movement: Lets think about this step by step.",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
You're a idiot if you vote for Hillary, her and Obama are The Epitome of what's wrong with this country #Benghazi #SemST
|
Hillary Clinton
|
against
|
1. The tweet explicitly expresses opinion about the target, a part of the target, or an aspect of the target.
|
neg
|
AGAINST
|
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: You're a idiot if you vote for Hillary, her and Obama are The Epitome of what's wrong with this country #Benghazi #SemST
Stance towards the target Hillary Clinton: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: You're a idiot if you vote for Hillary, her and Obama are The Epitome of what's wrong with this country #Benghazi #SemST \n Stance towards the target Hillary Clinton:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer should contain only a single word taken from the list [support, against, none]. Tweet: You're a idiot if you vote for Hillary, her and Obama are The Epitome of what's wrong with this country #Benghazi #SemST
Stance towards the target Hillary Clinton: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer should contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: You're a idiot if you vote for Hillary, her and Obama are The Epitome of what's wrong with this country #Benghazi #SemST \n Stance towards the target Hillary Clinton:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer must contain only a single word taken from the list [support, against, none]. Tweet: You're a idiot if you vote for Hillary, her and Obama are The Epitome of what's wrong with this country #Benghazi #SemST
Stance towards the target Hillary Clinton: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer must contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: You're a idiot if you vote for Hillary, her and Obama are The Epitome of what's wrong with this country #Benghazi #SemST \n Stance towards the target Hillary Clinton:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST
Stance towards the target Atheism: support
Tweet: You're a idiot if you vote for Hillary, her and Obama are The Epitome of what's wrong with this country #Benghazi #SemST
Stance towards the target Hillary Clinton: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST \n Stance towards the target Atheism:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
},
{
"content": "Tweet: You're a idiot if you vote for Hillary, her and Obama are The Epitome of what's wrong with this country #Benghazi #SemST \n Stance towards the target Hillary Clinton:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: You're a idiot if you vote for Hillary, her and Obama are The Epitome of what's wrong with this country #Benghazi #SemST
Stance towards the target Hillary Clinton: Lets think about this step by step. against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: You're a idiot if you vote for Hillary, her and Obama are The Epitome of what's wrong with this country #Benghazi #SemST \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
#Mission:#Climate on the road > Drive less (by @greengoddess892) #Tip #ImpactIsReal #SemST
|
Climate Change is a Real Concern
|
support
|
1. The tweet explicitly expresses opinion about the target, a part of the target, or an aspect of the target.
|
pos
|
FAVOR
|
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: #Mission:#Climate on the road > Drive less (by @greengoddess892) #Tip #ImpactIsReal #SemST
Stance towards the target Climate Change is a Real Concern: support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: #Mission:#Climate on the road > Drive less (by @greengoddess892) #Tip #ImpactIsReal #SemST \n Stance towards the target Climate Change is a Real Concern:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer should contain only a single word taken from the list [support, against, none]. Tweet: #Mission:#Climate on the road > Drive less (by @greengoddess892) #Tip #ImpactIsReal #SemST
Stance towards the target Climate Change is a Real Concern: support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer should contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: #Mission:#Climate on the road > Drive less (by @greengoddess892) #Tip #ImpactIsReal #SemST \n Stance towards the target Climate Change is a Real Concern:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer must contain only a single word taken from the list [support, against, none]. Tweet: #Mission:#Climate on the road > Drive less (by @greengoddess892) #Tip #ImpactIsReal #SemST
Stance towards the target Climate Change is a Real Concern: support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer must contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: #Mission:#Climate on the road > Drive less (by @greengoddess892) #Tip #ImpactIsReal #SemST \n Stance towards the target Climate Change is a Real Concern:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST
Stance towards the target Atheism: support
Tweet: #Mission:#Climate on the road > Drive less (by @greengoddess892) #Tip #ImpactIsReal #SemST
Stance towards the target Climate Change is a Real Concern: support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST \n Stance towards the target Atheism:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
},
{
"content": "Tweet: #Mission:#Climate on the road > Drive less (by @greengoddess892) #Tip #ImpactIsReal #SemST \n Stance towards the target Climate Change is a Real Concern:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: #Mission:#Climate on the road > Drive less (by @greengoddess892) #Tip #ImpactIsReal #SemST
Stance towards the target Climate Change is a Real Concern: Lets think about this step by step. support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: #Mission:#Climate on the road > Drive less (by @greengoddess892) #Tip #ImpactIsReal #SemST \n Stance towards the target Climate Change is a Real Concern: Lets think about this step by step.",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
The world is waking up to the fact that killing babies is wrong. No matter what. #ProLifeYouth #SemST
|
Legalization of Abortion
|
against
|
1. The tweet explicitly expresses opinion about the target, a part of the target, or an aspect of the target.
|
neg
|
AGAINST
|
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: The world is waking up to the fact that killing babies is wrong. No matter what. #ProLifeYouth #SemST
Stance towards the target Legalization of Abortion: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: The world is waking up to the fact that killing babies is wrong. No matter what. #ProLifeYouth #SemST \n Stance towards the target Legalization of Abortion:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer should contain only a single word taken from the list [support, against, none]. Tweet: The world is waking up to the fact that killing babies is wrong. No matter what. #ProLifeYouth #SemST
Stance towards the target Legalization of Abortion: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer should contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: The world is waking up to the fact that killing babies is wrong. No matter what. #ProLifeYouth #SemST \n Stance towards the target Legalization of Abortion:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer must contain only a single word taken from the list [support, against, none]. Tweet: The world is waking up to the fact that killing babies is wrong. No matter what. #ProLifeYouth #SemST
Stance towards the target Legalization of Abortion: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer must contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: The world is waking up to the fact that killing babies is wrong. No matter what. #ProLifeYouth #SemST \n Stance towards the target Legalization of Abortion:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST
Stance towards the target Atheism: support
Tweet: The world is waking up to the fact that killing babies is wrong. No matter what. #ProLifeYouth #SemST
Stance towards the target Legalization of Abortion: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST \n Stance towards the target Atheism:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
},
{
"content": "Tweet: The world is waking up to the fact that killing babies is wrong. No matter what. #ProLifeYouth #SemST \n Stance towards the target Legalization of Abortion:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: The world is waking up to the fact that killing babies is wrong. No matter what. #ProLifeYouth #SemST
Stance towards the target Legalization of Abortion: Lets think about this step by step. against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: The world is waking up to the fact that killing babies is wrong. No matter what. #ProLifeYouth #SemST \n Stance towards the target Legalization of Abortion: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
It upsets me how people are so narrow-minded when it comes to feminism. STEREOTYPING MEN IS NOT . #SemST
|
Feminist Movement
|
support
|
1. The tweet explicitly expresses opinion about the target, a part of the target, or an aspect of the target.
|
neg
|
FAVOR
|
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: It upsets me how people are so narrow-minded when it comes to feminism. STEREOTYPING MEN IS NOT . #SemST
Stance towards the target Feminist Movement: support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: It upsets me how people are so narrow-minded when it comes to feminism. STEREOTYPING MEN IS NOT . #SemST \n Stance towards the target Feminist Movement:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer should contain only a single word taken from the list [support, against, none]. Tweet: It upsets me how people are so narrow-minded when it comes to feminism. STEREOTYPING MEN IS NOT . #SemST
Stance towards the target Feminist Movement: support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer should contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: It upsets me how people are so narrow-minded when it comes to feminism. STEREOTYPING MEN IS NOT . #SemST \n Stance towards the target Feminist Movement:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer must contain only a single word taken from the list [support, against, none]. Tweet: It upsets me how people are so narrow-minded when it comes to feminism. STEREOTYPING MEN IS NOT . #SemST
Stance towards the target Feminist Movement: support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer must contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: It upsets me how people are so narrow-minded when it comes to feminism. STEREOTYPING MEN IS NOT . #SemST \n Stance towards the target Feminist Movement:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST
Stance towards the target Atheism: support
Tweet: It upsets me how people are so narrow-minded when it comes to feminism. STEREOTYPING MEN IS NOT . #SemST
Stance towards the target Feminist Movement: support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST \n Stance towards the target Atheism:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
},
{
"content": "Tweet: It upsets me how people are so narrow-minded when it comes to feminism. STEREOTYPING MEN IS NOT . #SemST \n Stance towards the target Feminist Movement:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: It upsets me how people are so narrow-minded when it comes to feminism. STEREOTYPING MEN IS NOT . #SemST
Stance towards the target Feminist Movement: Lets think about this step by step. support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: It upsets me how people are so narrow-minded when it comes to feminism. STEREOTYPING MEN IS NOT . #SemST \n Stance towards the target Feminist Movement: Lets think about this step by step.",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
The facts are in. It is clear as our numbered days. Climate change is humanity's fault. And we are facing extinction. #SemST
|
Climate Change is a Real Concern
|
support
|
1. The tweet explicitly expresses opinion about the target, a part of the target, or an aspect of the target.
|
neg
|
FAVOR
|
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: The facts are in. It is clear as our numbered days. Climate change is humanity's fault. And we are facing extinction. #SemST
Stance towards the target Climate Change is a Real Concern: support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: The facts are in. It is clear as our numbered days. Climate change is humanity's fault. And we are facing extinction. #SemST \n Stance towards the target Climate Change is a Real Concern:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer should contain only a single word taken from the list [support, against, none]. Tweet: The facts are in. It is clear as our numbered days. Climate change is humanity's fault. And we are facing extinction. #SemST
Stance towards the target Climate Change is a Real Concern: support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer should contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: The facts are in. It is clear as our numbered days. Climate change is humanity's fault. And we are facing extinction. #SemST \n Stance towards the target Climate Change is a Real Concern:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer must contain only a single word taken from the list [support, against, none]. Tweet: The facts are in. It is clear as our numbered days. Climate change is humanity's fault. And we are facing extinction. #SemST
Stance towards the target Climate Change is a Real Concern: support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer must contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: The facts are in. It is clear as our numbered days. Climate change is humanity's fault. And we are facing extinction. #SemST \n Stance towards the target Climate Change is a Real Concern:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST
Stance towards the target Atheism: support
Tweet: The facts are in. It is clear as our numbered days. Climate change is humanity's fault. And we are facing extinction. #SemST
Stance towards the target Climate Change is a Real Concern: support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST \n Stance towards the target Atheism:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
},
{
"content": "Tweet: The facts are in. It is clear as our numbered days. Climate change is humanity's fault. And we are facing extinction. #SemST \n Stance towards the target Climate Change is a Real Concern:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: The facts are in. It is clear as our numbered days. Climate change is humanity's fault. And we are facing extinction. #SemST
Stance towards the target Climate Change is a Real Concern: Lets think about this step by step. support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: The facts are in. It is clear as our numbered days. Climate change is humanity's fault. And we are facing extinction. #SemST \n Stance towards the target Climate Change is a Real Concern: Lets think about this step by step.",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
At what point do we rename summer "The Rainy Season"? #Cdnpoli #SemST
|
Climate Change is a Real Concern
|
support
|
1. The tweet explicitly expresses opinion about the target, a part of the target, or an aspect of the target.
|
other
|
FAVOR
|
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: At what point do we rename summer "The Rainy Season"? #Cdnpoli #SemST
Stance towards the target Climate Change is a Real Concern: support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: At what point do we rename summer \"The Rainy Season\"? #Cdnpoli #SemST \n Stance towards the target Climate Change is a Real Concern:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer should contain only a single word taken from the list [support, against, none]. Tweet: At what point do we rename summer "The Rainy Season"? #Cdnpoli #SemST
Stance towards the target Climate Change is a Real Concern: support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer should contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: At what point do we rename summer \"The Rainy Season\"? #Cdnpoli #SemST \n Stance towards the target Climate Change is a Real Concern:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer must contain only a single word taken from the list [support, against, none]. Tweet: At what point do we rename summer "The Rainy Season"? #Cdnpoli #SemST
Stance towards the target Climate Change is a Real Concern: support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer must contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: At what point do we rename summer \"The Rainy Season\"? #Cdnpoli #SemST \n Stance towards the target Climate Change is a Real Concern:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST
Stance towards the target Atheism: support
Tweet: At what point do we rename summer "The Rainy Season"? #Cdnpoli #SemST
Stance towards the target Climate Change is a Real Concern: support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST \n Stance towards the target Atheism:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
},
{
"content": "Tweet: At what point do we rename summer \"The Rainy Season\"? #Cdnpoli #SemST \n Stance towards the target Climate Change is a Real Concern:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: At what point do we rename summer "The Rainy Season"? #Cdnpoli #SemST
Stance towards the target Climate Change is a Real Concern: Lets think about this step by step. support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: At what point do we rename summer \"The Rainy Season\"? #Cdnpoli #SemST \n Stance towards the target Climate Change is a Real Concern: Lets think about this step by step.",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
RT @Singerman2000: Government has exceeded its necessary size, scope and reach into the lives of its citizens. #Armenia... #SemST
|
Legalization of Abortion
|
none
|
2. The tweet does NOT expresses opinion about the target but it HAS opinion about something or someone other than the target.
|
neg
|
NONE
|
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: RT @Singerman2000: Government has exceeded its necessary size, scope and reach into the lives of its citizens. #Armenia... #SemST
Stance towards the target Legalization of Abortion: none
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: RT @Singerman2000: Government has exceeded its necessary size, scope and reach into the lives of its citizens. #Armenia... #SemST \n Stance towards the target Legalization of Abortion:",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer should contain only a single word taken from the list [support, against, none]. Tweet: RT @Singerman2000: Government has exceeded its necessary size, scope and reach into the lives of its citizens. #Armenia... #SemST
Stance towards the target Legalization of Abortion: none
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer should contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: RT @Singerman2000: Government has exceeded its necessary size, scope and reach into the lives of its citizens. #Armenia... #SemST \n Stance towards the target Legalization of Abortion:",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer must contain only a single word taken from the list [support, against, none]. Tweet: RT @Singerman2000: Government has exceeded its necessary size, scope and reach into the lives of its citizens. #Armenia... #SemST
Stance towards the target Legalization of Abortion: none
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer must contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: RT @Singerman2000: Government has exceeded its necessary size, scope and reach into the lives of its citizens. #Armenia... #SemST \n Stance towards the target Legalization of Abortion:",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST
Stance towards the target Atheism: support
Tweet: RT @Singerman2000: Government has exceeded its necessary size, scope and reach into the lives of its citizens. #Armenia... #SemST
Stance towards the target Legalization of Abortion: none
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST \n Stance towards the target Atheism:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
},
{
"content": "Tweet: RT @Singerman2000: Government has exceeded its necessary size, scope and reach into the lives of its citizens. #Armenia... #SemST \n Stance towards the target Legalization of Abortion:",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: RT @Singerman2000: Government has exceeded its necessary size, scope and reach into the lives of its citizens. #Armenia... #SemST
Stance towards the target Legalization of Abortion: Lets think about this step by step. none
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: RT @Singerman2000: Government has exceeded its necessary size, scope and reach into the lives of its citizens. #Armenia... #SemST \n Stance towards the target Legalization of Abortion: Lets think about this step by step.",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
#hillaryclinton is a champion of data removal. #SemST
|
Hillary Clinton
|
against
|
1. The tweet explicitly expresses opinion about the target, a part of the target, or an aspect of the target.
|
neg
|
AGAINST
|
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: #hillaryclinton is a champion of data removal. #SemST
Stance towards the target Hillary Clinton: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: #hillaryclinton is a champion of data removal. #SemST \n Stance towards the target Hillary Clinton:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer should contain only a single word taken from the list [support, against, none]. Tweet: #hillaryclinton is a champion of data removal. #SemST
Stance towards the target Hillary Clinton: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer should contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: #hillaryclinton is a champion of data removal. #SemST \n Stance towards the target Hillary Clinton:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer must contain only a single word taken from the list [support, against, none]. Tweet: #hillaryclinton is a champion of data removal. #SemST
Stance towards the target Hillary Clinton: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer must contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: #hillaryclinton is a champion of data removal. #SemST \n Stance towards the target Hillary Clinton:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST
Stance towards the target Atheism: support
Tweet: #hillaryclinton is a champion of data removal. #SemST
Stance towards the target Hillary Clinton: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST \n Stance towards the target Atheism:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
},
{
"content": "Tweet: #hillaryclinton is a champion of data removal. #SemST \n Stance towards the target Hillary Clinton:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: #hillaryclinton is a champion of data removal. #SemST
Stance towards the target Hillary Clinton: Lets think about this step by step. against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: #hillaryclinton is a champion of data removal. #SemST \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
Rt easyprintitja: Rt FirstKingTre: Freak #rain in Kingston #Jamaica.. sudden #skuii876 #SemST
|
Climate Change is a Real Concern
|
none
|
3. The tweet is not explicitly expressing opinion. (For example, the tweet is simply giving information.)
|
other
|
NONE
|
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: Rt easyprintitja: Rt FirstKingTre: Freak #rain in Kingston #Jamaica.. sudden #skuii876 #SemST
Stance towards the target Climate Change is a Real Concern: none
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: Rt easyprintitja: Rt FirstKingTre: Freak #rain in Kingston #Jamaica.. sudden #skuii876 #SemST \n Stance towards the target Climate Change is a Real Concern:",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer should contain only a single word taken from the list [support, against, none]. Tweet: Rt easyprintitja: Rt FirstKingTre: Freak #rain in Kingston #Jamaica.. sudden #skuii876 #SemST
Stance towards the target Climate Change is a Real Concern: none
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer should contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: Rt easyprintitja: Rt FirstKingTre: Freak #rain in Kingston #Jamaica.. sudden #skuii876 #SemST \n Stance towards the target Climate Change is a Real Concern:",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer must contain only a single word taken from the list [support, against, none]. Tweet: Rt easyprintitja: Rt FirstKingTre: Freak #rain in Kingston #Jamaica.. sudden #skuii876 #SemST
Stance towards the target Climate Change is a Real Concern: none
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer must contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: Rt easyprintitja: Rt FirstKingTre: Freak #rain in Kingston #Jamaica.. sudden #skuii876 #SemST \n Stance towards the target Climate Change is a Real Concern:",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST
Stance towards the target Atheism: support
Tweet: Rt easyprintitja: Rt FirstKingTre: Freak #rain in Kingston #Jamaica.. sudden #skuii876 #SemST
Stance towards the target Climate Change is a Real Concern: none
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST \n Stance towards the target Atheism:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
},
{
"content": "Tweet: Rt easyprintitja: Rt FirstKingTre: Freak #rain in Kingston #Jamaica.. sudden #skuii876 #SemST \n Stance towards the target Climate Change is a Real Concern:",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: Rt easyprintitja: Rt FirstKingTre: Freak #rain in Kingston #Jamaica.. sudden #skuii876 #SemST
Stance towards the target Climate Change is a Real Concern: Lets think about this step by step. none
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: Rt easyprintitja: Rt FirstKingTre: Freak #rain in Kingston #Jamaica.. sudden #skuii876 #SemST \n Stance towards the target Climate Change is a Real Concern: Lets think about this step by step.",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
I will not allow the accuser to accuse me, for I am washed and cleansed by the blood of the Lamb -Rev. 1:5; 7:14 #SemST
|
Atheism
|
against
|
1. The tweet explicitly expresses opinion about the target, a part of the target, or an aspect of the target.
|
pos
|
AGAINST
|
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: I will not allow the accuser to accuse me, for I am washed and cleansed by the blood of the Lamb -Rev. 1:5; 7:14 #SemST
Stance towards the target Atheism: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: I will not allow the accuser to accuse me, for I am washed and cleansed by the blood of the Lamb -Rev. 1:5; 7:14 #SemST \n Stance towards the target Atheism:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer should contain only a single word taken from the list [support, against, none]. Tweet: I will not allow the accuser to accuse me, for I am washed and cleansed by the blood of the Lamb -Rev. 1:5; 7:14 #SemST
Stance towards the target Atheism: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer should contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: I will not allow the accuser to accuse me, for I am washed and cleansed by the blood of the Lamb -Rev. 1:5; 7:14 #SemST \n Stance towards the target Atheism:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer must contain only a single word taken from the list [support, against, none]. Tweet: I will not allow the accuser to accuse me, for I am washed and cleansed by the blood of the Lamb -Rev. 1:5; 7:14 #SemST
Stance towards the target Atheism: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer must contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: I will not allow the accuser to accuse me, for I am washed and cleansed by the blood of the Lamb -Rev. 1:5; 7:14 #SemST \n Stance towards the target Atheism:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST
Stance towards the target Atheism: support
Tweet: I will not allow the accuser to accuse me, for I am washed and cleansed by the blood of the Lamb -Rev. 1:5; 7:14 #SemST
Stance towards the target Atheism: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST \n Stance towards the target Atheism:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
},
{
"content": "Tweet: I will not allow the accuser to accuse me, for I am washed and cleansed by the blood of the Lamb -Rev. 1:5; 7:14 #SemST \n Stance towards the target Atheism:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: I will not allow the accuser to accuse me, for I am washed and cleansed by the blood of the Lamb -Rev. 1:5; 7:14 #SemST
Stance towards the target Atheism: Lets think about this step by step. against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: I will not allow the accuser to accuse me, for I am washed and cleansed by the blood of the Lamb -Rev. 1:5; 7:14 #SemST \n Stance towards the target Atheism: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
@BarackObama celebrates "equality" while 3000 unborn babies were killed today. Let's talk about a real inequality sir #LifeEquality #SemST
|
Legalization of Abortion
|
against
|
1. The tweet explicitly expresses opinion about the target, a part of the target, or an aspect of the target.
|
neg
|
AGAINST
|
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: @BarackObama celebrates "equality" while 3000 unborn babies were killed today. Let's talk about a real inequality sir #LifeEquality #SemST
Stance towards the target Legalization of Abortion: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: @BarackObama celebrates \"equality\" while 3000 unborn babies were killed today. Let's talk about a real inequality sir #LifeEquality #SemST \n Stance towards the target Legalization of Abortion:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer should contain only a single word taken from the list [support, against, none]. Tweet: @BarackObama celebrates "equality" while 3000 unborn babies were killed today. Let's talk about a real inequality sir #LifeEquality #SemST
Stance towards the target Legalization of Abortion: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer should contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: @BarackObama celebrates \"equality\" while 3000 unborn babies were killed today. Let's talk about a real inequality sir #LifeEquality #SemST \n Stance towards the target Legalization of Abortion:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer must contain only a single word taken from the list [support, against, none]. Tweet: @BarackObama celebrates "equality" while 3000 unborn babies were killed today. Let's talk about a real inequality sir #LifeEquality #SemST
Stance towards the target Legalization of Abortion: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer must contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: @BarackObama celebrates \"equality\" while 3000 unborn babies were killed today. Let's talk about a real inequality sir #LifeEquality #SemST \n Stance towards the target Legalization of Abortion:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST
Stance towards the target Atheism: support
Tweet: @BarackObama celebrates "equality" while 3000 unborn babies were killed today. Let's talk about a real inequality sir #LifeEquality #SemST
Stance towards the target Legalization of Abortion: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST \n Stance towards the target Atheism:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
},
{
"content": "Tweet: @BarackObama celebrates \"equality\" while 3000 unborn babies were killed today. Let's talk about a real inequality sir #LifeEquality #SemST \n Stance towards the target Legalization of Abortion:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: @BarackObama celebrates "equality" while 3000 unborn babies were killed today. Let's talk about a real inequality sir #LifeEquality #SemST
Stance towards the target Legalization of Abortion: Lets think about this step by step. against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: @BarackObama celebrates \"equality\" while 3000 unborn babies were killed today. Let's talk about a real inequality sir #LifeEquality #SemST \n Stance towards the target Legalization of Abortion: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
Umrao Jaan Ada- a story of not just a life or prostitute but of poise and poesy. #WOMANPOWER #SemST
|
Feminist Movement
|
support
|
1. The tweet explicitly expresses opinion about the target, a part of the target, or an aspect of the target.
|
neg
|
FAVOR
|
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: Umrao Jaan Ada- a story of not just a life or prostitute but of poise and poesy. #WOMANPOWER #SemST
Stance towards the target Feminist Movement: support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: Umrao Jaan Ada- a story of not just a life or prostitute but of poise and poesy. #WOMANPOWER #SemST \n Stance towards the target Feminist Movement:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer should contain only a single word taken from the list [support, against, none]. Tweet: Umrao Jaan Ada- a story of not just a life or prostitute but of poise and poesy. #WOMANPOWER #SemST
Stance towards the target Feminist Movement: support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer should contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: Umrao Jaan Ada- a story of not just a life or prostitute but of poise and poesy. #WOMANPOWER #SemST \n Stance towards the target Feminist Movement:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer must contain only a single word taken from the list [support, against, none]. Tweet: Umrao Jaan Ada- a story of not just a life or prostitute but of poise and poesy. #WOMANPOWER #SemST
Stance towards the target Feminist Movement: support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer must contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: Umrao Jaan Ada- a story of not just a life or prostitute but of poise and poesy. #WOMANPOWER #SemST \n Stance towards the target Feminist Movement:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST
Stance towards the target Atheism: support
Tweet: Umrao Jaan Ada- a story of not just a life or prostitute but of poise and poesy. #WOMANPOWER #SemST
Stance towards the target Feminist Movement: support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST \n Stance towards the target Atheism:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
},
{
"content": "Tweet: Umrao Jaan Ada- a story of not just a life or prostitute but of poise and poesy. #WOMANPOWER #SemST \n Stance towards the target Feminist Movement:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: Umrao Jaan Ada- a story of not just a life or prostitute but of poise and poesy. #WOMANPOWER #SemST
Stance towards the target Feminist Movement: Lets think about this step by step. support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: Umrao Jaan Ada- a story of not just a life or prostitute but of poise and poesy. #WOMANPOWER #SemST \n Stance towards the target Feminist Movement: Lets think about this step by step.",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
.@HillaryClinton is a droid & someone's programmed her to say things - thinks she doesn't have to WORK to win so she ISN'T!
|
Hillary Clinton
|
against
|
1. The tweet explicitly expresses opinion about the target, a part of the target, or an aspect of the target.
|
neg
|
AGAINST
|
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: .@HillaryClinton is a droid & someone's programmed her to say things - thinks she doesn't have to WORK to win so she ISN'T!
Stance towards the target Hillary Clinton: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: .@HillaryClinton is a droid & someone's programmed her to say things - thinks she doesn't have to WORK to win so she ISN'T! \n Stance towards the target Hillary Clinton:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer should contain only a single word taken from the list [support, against, none]. Tweet: .@HillaryClinton is a droid & someone's programmed her to say things - thinks she doesn't have to WORK to win so she ISN'T!
Stance towards the target Hillary Clinton: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer should contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: .@HillaryClinton is a droid & someone's programmed her to say things - thinks she doesn't have to WORK to win so she ISN'T! \n Stance towards the target Hillary Clinton:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer must contain only a single word taken from the list [support, against, none]. Tweet: .@HillaryClinton is a droid & someone's programmed her to say things - thinks she doesn't have to WORK to win so she ISN'T!
Stance towards the target Hillary Clinton: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer must contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: .@HillaryClinton is a droid & someone's programmed her to say things - thinks she doesn't have to WORK to win so she ISN'T! \n Stance towards the target Hillary Clinton:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST
Stance towards the target Atheism: support
Tweet: .@HillaryClinton is a droid & someone's programmed her to say things - thinks she doesn't have to WORK to win so she ISN'T!
Stance towards the target Hillary Clinton: against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST \n Stance towards the target Atheism:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
},
{
"content": "Tweet: .@HillaryClinton is a droid & someone's programmed her to say things - thinks she doesn't have to WORK to win so she ISN'T! \n Stance towards the target Hillary Clinton:",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: .@HillaryClinton is a droid & someone's programmed her to say things - thinks she doesn't have to WORK to win so she ISN'T!
Stance towards the target Hillary Clinton: Lets think about this step by step. against
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: .@HillaryClinton is a droid & someone's programmed her to say things - thinks she doesn't have to WORK to win so she ISN'T! \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
@thewest_com_au @Pammieoz we're way behind everybody on just about everything #gaymarriage #asylumseekers #SemST
|
Climate Change is a Real Concern
|
none
|
2. The tweet does NOT expresses opinion about the target but it HAS opinion about something or someone other than the target.
|
neg
|
NONE
|
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: @thewest_com_au @Pammieoz we're way behind everybody on just about everything #gaymarriage #asylumseekers #SemST
Stance towards the target Climate Change is a Real Concern: none
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: @thewest_com_au @Pammieoz we're way behind everybody on just about everything #gaymarriage #asylumseekers #SemST \n Stance towards the target Climate Change is a Real Concern:",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer should contain only a single word taken from the list [support, against, none]. Tweet: @thewest_com_au @Pammieoz we're way behind everybody on just about everything #gaymarriage #asylumseekers #SemST
Stance towards the target Climate Change is a Real Concern: none
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer should contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: @thewest_com_au @Pammieoz we're way behind everybody on just about everything #gaymarriage #asylumseekers #SemST \n Stance towards the target Climate Change is a Real Concern:",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer must contain only a single word taken from the list [support, against, none]. Tweet: @thewest_com_au @Pammieoz we're way behind everybody on just about everything #gaymarriage #asylumseekers #SemST
Stance towards the target Climate Change is a Real Concern: none
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer must contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: @thewest_com_au @Pammieoz we're way behind everybody on just about everything #gaymarriage #asylumseekers #SemST \n Stance towards the target Climate Change is a Real Concern:",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST
Stance towards the target Atheism: support
Tweet: @thewest_com_au @Pammieoz we're way behind everybody on just about everything #gaymarriage #asylumseekers #SemST
Stance towards the target Climate Change is a Real Concern: none
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST \n Stance towards the target Atheism:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
},
{
"content": "Tweet: @thewest_com_au @Pammieoz we're way behind everybody on just about everything #gaymarriage #asylumseekers #SemST \n Stance towards the target Climate Change is a Real Concern:",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: @thewest_com_au @Pammieoz we're way behind everybody on just about everything #gaymarriage #asylumseekers #SemST
Stance towards the target Climate Change is a Real Concern: Lets think about this step by step. none
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: @thewest_com_au @Pammieoz we're way behind everybody on just about everything #gaymarriage #asylumseekers #SemST \n Stance towards the target Climate Change is a Real Concern: Lets think about this step by step.",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
Americans clearly support family planning. Cutting Title X is wrong #ProtectPrevention #savetitleX #SemST
|
Legalization of Abortion
|
support
|
2. The tweet does NOT expresses opinion about the target but it HAS opinion about something or someone other than the target.
|
other
|
FAVOR
|
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: Americans clearly support family planning. Cutting Title X is wrong #ProtectPrevention #savetitleX #SemST
Stance towards the target Legalization of Abortion: support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: Americans clearly support family planning. Cutting Title X is wrong #ProtectPrevention #savetitleX #SemST \n Stance towards the target Legalization of Abortion:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer should contain only a single word taken from the list [support, against, none]. Tweet: Americans clearly support family planning. Cutting Title X is wrong #ProtectPrevention #savetitleX #SemST
Stance towards the target Legalization of Abortion: support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer should contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: Americans clearly support family planning. Cutting Title X is wrong #ProtectPrevention #savetitleX #SemST \n Stance towards the target Legalization of Abortion:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Your answer must contain only a single word taken from the list [support, against, none]. Tweet: Americans clearly support family planning. Cutting Title X is wrong #ProtectPrevention #savetitleX #SemST
Stance towards the target Legalization of Abortion: support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\nYour answer must contain only a single word taken from the list [support, against, none].",
"role": "system"
},
{
"content": "Tweet: Americans clearly support family planning. Cutting Title X is wrong #ProtectPrevention #savetitleX #SemST \n Stance towards the target Legalization of Abortion:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST
Stance towards the target Atheism: support
Tweet: Americans clearly support family planning. Cutting Title X is wrong #ProtectPrevention #savetitleX #SemST
Stance towards the target Legalization of Abortion: support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: You cant think by yourself about life and believe in god. It just doesn’t add up #SemST \n Stance towards the target Atheism:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
},
{
"content": "Tweet: Americans clearly support family planning. Cutting Title X is wrong #ProtectPrevention #savetitleX #SemST \n Stance towards the target Legalization of Abortion:",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
You are a helpful, respectful, and honest assistant for stance detection for a given target.
Always answer from the possible options given below as helpfully as possible.
Stance detection is the process of determining whether the author of a tweet is in support of or against a given target.
The target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.
The possible stances are:
* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.
* against: The tweet opposes or criticizes the target, either explicitly or implicitly.
* none: The tweet is neutral or doesn’t have a stance towards the target.
Tweet: Americans clearly support family planning. Cutting Title X is wrong #ProtectPrevention #savetitleX #SemST
Stance towards the target Legalization of Abortion: Lets think about this step by step. support
|
[
{
"content": "You are a helpful, respectful, and honest assistant for stance detection for a given target. \nAlways answer from the possible options given below as helpfully as possible. \nStance detection is the process of determining whether the author of a tweet is in support of or against a given target. \nThe target may not always be explicitly mentioned in the text, and the tweet’s stance can be conveyed implicitly through subtext, regional and cultural references, or other implicit meanings.\nThe possible stances are:\n* support: The tweet has a positive or supportive attitude towards the target, either explicitly or implicitly.\n* against: The tweet opposes or criticizes the target, either explicitly or implicitly.\n* none: The tweet is neutral or doesn’t have a stance towards the target.\n",
"role": "system"
},
{
"content": "Tweet: Americans clearly support family planning. Cutting Title X is wrong #ProtectPrevention #savetitleX #SemST \n Stance towards the target Legalization of Abortion: Lets think about this step by step.",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
End of preview. Expand
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