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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"
}
] |
It's a miracle, suddenly #Democrats don't mind having someone who voted for war.
|
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: It's a miracle, suddenly #Democrats don't mind having someone who voted for war.
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: It's a miracle, suddenly #Democrats don't mind having someone who voted for war. \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: It's a miracle, suddenly #Democrats don't mind having someone who voted for war.
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: It's a miracle, suddenly #Democrats don't mind having someone who voted for war. \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: It's a miracle, suddenly #Democrats don't mind having someone who voted for war.
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: It's a miracle, suddenly #Democrats don't mind having someone who voted for war. \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: It's a miracle, suddenly #Democrats don't mind having someone who voted for war.
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: It's a miracle, suddenly #Democrats don't mind having someone who voted for war. \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: It's a miracle, suddenly #Democrats don't mind having someone who voted for war.
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: It's a miracle, suddenly #Democrats don't mind having someone who voted for war. \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
@POTUS , before we can defeat ISIS we first must defeat #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: @POTUS , before we can defeat ISIS we first must defeat #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: @POTUS , before we can defeat ISIS we first must defeat #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: @POTUS , before we can defeat ISIS we first must defeat #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: @POTUS , before we can defeat ISIS we first must defeat #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: @POTUS , before we can defeat ISIS we first must defeat #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: @POTUS , before we can defeat ISIS we first must defeat #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: @POTUS , before we can defeat ISIS we first must defeat #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: @POTUS , before we can defeat ISIS we first must defeat #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: @POTUS , before we can defeat ISIS we first must defeat #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: @POTUS , before we can defeat ISIS we first must defeat #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"
}
] |
Since #SNL ain't that funny anymore please @JoeBiden run for president.. if even just for the hilarious debates between you & #SemST
|
Hillary Clinton
|
against
|
2. The tweet does NOT expresses opinion about the target but it HAS opinion about something or someone other than 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: Since #SNL ain't that funny anymore please @JoeBiden run for president.. if even just for the hilarious debates between you & #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: Since #SNL ain't that funny anymore please @JoeBiden run for president.. if even just for the hilarious debates between you & #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: Since #SNL ain't that funny anymore please @JoeBiden run for president.. if even just for the hilarious debates between you & #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: Since #SNL ain't that funny anymore please @JoeBiden run for president.. if even just for the hilarious debates between you & #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: Since #SNL ain't that funny anymore please @JoeBiden run for president.. if even just for the hilarious debates between you & #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: Since #SNL ain't that funny anymore please @JoeBiden run for president.. if even just for the hilarious debates between you & #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: Since #SNL ain't that funny anymore please @JoeBiden run for president.. if even just for the hilarious debates between you & #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: Since #SNL ain't that funny anymore please @JoeBiden run for president.. if even just for the hilarious debates between you & #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: Since #SNL ain't that funny anymore please @JoeBiden run for president.. if even just for the hilarious debates between you & #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: Since #SNL ain't that funny anymore please @JoeBiden run for president.. if even just for the hilarious debates between you & #SemST \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
Thanks to the work of people like @everydaysexism they are not only helping women but helping the whole of society #SemST
|
Feminist Movement
|
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: Thanks to the work of people like @everydaysexism they are not only helping women but helping the whole of society #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: Thanks to the work of people like @everydaysexism they are not only helping women but helping the whole of society #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: Thanks to the work of people like @everydaysexism they are not only helping women but helping the whole of society #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: Thanks to the work of people like @everydaysexism they are not only helping women but helping the whole of society #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: Thanks to the work of people like @everydaysexism they are not only helping women but helping the whole of society #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: Thanks to the work of people like @everydaysexism they are not only helping women but helping the whole of society #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: Thanks to the work of people like @everydaysexism they are not only helping women but helping the whole of society #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: Thanks to the work of people like @everydaysexism they are not only helping women but helping the whole of society #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: Thanks to the work of people like @everydaysexism they are not only helping women but helping the whole of society #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: Thanks to the work of people like @everydaysexism they are not only helping women but helping the whole of society #SemST \n Stance towards the target Feminist Movement: Lets think about this step by step.",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
I bind and rebuke all demons of jihad in the name of Jesus. #SemST
|
Atheism
|
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: I bind and rebuke all demons of jihad in the name of Jesus. #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 bind and rebuke all demons of jihad in the name of Jesus. #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 bind and rebuke all demons of jihad in the name of Jesus. #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 bind and rebuke all demons of jihad in the name of Jesus. #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 bind and rebuke all demons of jihad in the name of Jesus. #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 bind and rebuke all demons of jihad in the name of Jesus. #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 bind and rebuke all demons of jihad in the name of Jesus. #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 bind and rebuke all demons of jihad in the name of Jesus. #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 bind and rebuke all demons of jihad in the name of Jesus. #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 bind and rebuke all demons of jihad in the name of Jesus. #SemST \n Stance towards the target Atheism: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
It's "mindblowing" to me to watch this, #SirDavidAttenborough. #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.
|
pos
|
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: It's "mindblowing" to me to watch this, #SirDavidAttenborough. #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: It's \"mindblowing\" to me to watch this, #SirDavidAttenborough. #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: It's "mindblowing" to me to watch this, #SirDavidAttenborough. #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: It's \"mindblowing\" to me to watch this, #SirDavidAttenborough. #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: It's "mindblowing" to me to watch this, #SirDavidAttenborough. #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: It's \"mindblowing\" to me to watch this, #SirDavidAttenborough. #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: It's "mindblowing" to me to watch this, #SirDavidAttenborough. #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: It's \"mindblowing\" to me to watch this, #SirDavidAttenborough. #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: It's "mindblowing" to me to watch this, #SirDavidAttenborough. #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: It's \"mindblowing\" to me to watch this, #SirDavidAttenborough. #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"
}
] |
Amusing how Feminists & Creationists swap their own personal "I don't like it" by "God/Women don't like it" #GamerGate #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: Amusing how Feminists & Creationists swap their own personal "I don't like it" by "God/Women don't like it" #GamerGate #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: Amusing how Feminists & Creationists swap their own personal \"I don't like it\" by \"God/Women don't like it\" #GamerGate #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: Amusing how Feminists & Creationists swap their own personal "I don't like it" by "God/Women don't like it" #GamerGate #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: Amusing how Feminists & Creationists swap their own personal \"I don't like it\" by \"God/Women don't like it\" #GamerGate #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: Amusing how Feminists & Creationists swap their own personal "I don't like it" by "God/Women don't like it" #GamerGate #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: Amusing how Feminists & Creationists swap their own personal \"I don't like it\" by \"God/Women don't like it\" #GamerGate #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: Amusing how Feminists & Creationists swap their own personal "I don't like it" by "God/Women don't like it" #GamerGate #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: Amusing how Feminists & Creationists swap their own personal \"I don't like it\" by \"God/Women don't like it\" #GamerGate #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: Amusing how Feminists & Creationists swap their own personal "I don't like it" by "God/Women don't like it" #GamerGate #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: Amusing how Feminists & Creationists swap their own personal \"I don't like it\" by \"God/Women don't like it\" #GamerGate #SemST \n Stance towards the target Feminist Movement: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
@davidakin @lraitt Installing new #ForestFire navigation systems? #NoKinderMorgan #NoTarSands #cdnpoli #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: @davidakin @lraitt Installing new #ForestFire navigation systems? #NoKinderMorgan #NoTarSands #cdnpoli #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: @davidakin @lraitt Installing new #ForestFire navigation systems? #NoKinderMorgan #NoTarSands #cdnpoli #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: @davidakin @lraitt Installing new #ForestFire navigation systems? #NoKinderMorgan #NoTarSands #cdnpoli #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: @davidakin @lraitt Installing new #ForestFire navigation systems? #NoKinderMorgan #NoTarSands #cdnpoli #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: @davidakin @lraitt Installing new #ForestFire navigation systems? #NoKinderMorgan #NoTarSands #cdnpoli #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: @davidakin @lraitt Installing new #ForestFire navigation systems? #NoKinderMorgan #NoTarSands #cdnpoli #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: @davidakin @lraitt Installing new #ForestFire navigation systems? #NoKinderMorgan #NoTarSands #cdnpoli #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: @davidakin @lraitt Installing new #ForestFire navigation systems? #NoKinderMorgan #NoTarSands #cdnpoli #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: @davidakin @lraitt Installing new #ForestFire navigation systems? #NoKinderMorgan #NoTarSands #cdnpoli #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: @davidakin @lraitt Installing new #ForestFire navigation systems? #NoKinderMorgan #NoTarSands #cdnpoli #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"
}
] |
The default scientific position is skepticism. #tcot #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: The default scientific position is skepticism. #tcot #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: The default scientific position is skepticism. #tcot #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: The default scientific position is skepticism. #tcot #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: The default scientific position is skepticism. #tcot #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: The default scientific position is skepticism. #tcot #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: The default scientific position is skepticism. #tcot #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: The default scientific position is skepticism. #tcot #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: The default scientific position is skepticism. #tcot #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: The default scientific position is skepticism. #tcot #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: The default scientific position is skepticism. #tcot #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"
}
] |
Good morning Patriots, let us continue to Pray for this great Nation and the #UnBorn on this great day God has given us!! #ccot #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.
|
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: Good morning Patriots, let us continue to Pray for this great Nation and the #UnBorn on this great day God has given us!! #ccot #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: Good morning Patriots, let us continue to Pray for this great Nation and the #UnBorn on this great day God has given us!! #ccot #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: Good morning Patriots, let us continue to Pray for this great Nation and the #UnBorn on this great day God has given us!! #ccot #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: Good morning Patriots, let us continue to Pray for this great Nation and the #UnBorn on this great day God has given us!! #ccot #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: Good morning Patriots, let us continue to Pray for this great Nation and the #UnBorn on this great day God has given us!! #ccot #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: Good morning Patriots, let us continue to Pray for this great Nation and the #UnBorn on this great day God has given us!! #ccot #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: Good morning Patriots, let us continue to Pray for this great Nation and the #UnBorn on this great day God has given us!! #ccot #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: Good morning Patriots, let us continue to Pray for this great Nation and the #UnBorn on this great day God has given us!! #ccot #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: Good morning Patriots, let us continue to Pray for this great Nation and the #UnBorn on this great day God has given us!! #ccot #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: Good morning Patriots, let us continue to Pray for this great Nation and the #UnBorn on this great day God has given us!! #ccot #SemST \n Stance towards the target Legalization of Abortion: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
@ambedkarperiyar @ndtv @BDUTT I have a problem with everyone who is sensationalising news! Crazy how people have forgotten #SemST
|
Atheism
|
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: @ambedkarperiyar @ndtv @BDUTT I have a problem with everyone who is sensationalising news! Crazy how people have forgotten #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: @ambedkarperiyar @ndtv @BDUTT I have a problem with everyone who is sensationalising news! Crazy how people have forgotten #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: @ambedkarperiyar @ndtv @BDUTT I have a problem with everyone who is sensationalising news! Crazy how people have forgotten #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: @ambedkarperiyar @ndtv @BDUTT I have a problem with everyone who is sensationalising news! Crazy how people have forgotten #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: @ambedkarperiyar @ndtv @BDUTT I have a problem with everyone who is sensationalising news! Crazy how people have forgotten #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: @ambedkarperiyar @ndtv @BDUTT I have a problem with everyone who is sensationalising news! Crazy how people have forgotten #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: @ambedkarperiyar @ndtv @BDUTT I have a problem with everyone who is sensationalising news! Crazy how people have forgotten #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: @ambedkarperiyar @ndtv @BDUTT I have a problem with everyone who is sensationalising news! Crazy how people have forgotten #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: @ambedkarperiyar @ndtv @BDUTT I have a problem with everyone who is sensationalising news! Crazy how people have forgotten #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: @ambedkarperiyar @ndtv @BDUTT I have a problem with everyone who is sensationalising news! Crazy how people have forgotten #SemST \n Stance towards the target Atheism: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
Well Strung is what should happed the next time these Hillary-loving ass douches encounter some trees. #RedEye #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: Well Strung is what should happed the next time these Hillary-loving ass douches encounter some trees. #RedEye #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: Well Strung is what should happed the next time these Hillary-loving ass douches encounter some trees. #RedEye #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: Well Strung is what should happed the next time these Hillary-loving ass douches encounter some trees. #RedEye #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: Well Strung is what should happed the next time these Hillary-loving ass douches encounter some trees. #RedEye #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: Well Strung is what should happed the next time these Hillary-loving ass douches encounter some trees. #RedEye #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: Well Strung is what should happed the next time these Hillary-loving ass douches encounter some trees. #RedEye #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: Well Strung is what should happed the next time these Hillary-loving ass douches encounter some trees. #RedEye #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: Well Strung is what should happed the next time these Hillary-loving ass douches encounter some trees. #RedEye #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: Well Strung is what should happed the next time these Hillary-loving ass douches encounter some trees. #RedEye #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: Well Strung is what should happed the next time these Hillary-loving ass douches encounter some trees. #RedEye #SemST \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
God forbid you'd ever have to walk a mile in her shoes. Then you really might know what it's like to have to choose. #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.
|
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: God forbid you'd ever have to walk a mile in her shoes. Then you really might know what it's like to have to choose. #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: God forbid you'd ever have to walk a mile in her shoes. Then you really might know what it's like to have to choose. #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: God forbid you'd ever have to walk a mile in her shoes. Then you really might know what it's like to have to choose. #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: God forbid you'd ever have to walk a mile in her shoes. Then you really might know what it's like to have to choose. #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: God forbid you'd ever have to walk a mile in her shoes. Then you really might know what it's like to have to choose. #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: God forbid you'd ever have to walk a mile in her shoes. Then you really might know what it's like to have to choose. #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: God forbid you'd ever have to walk a mile in her shoes. Then you really might know what it's like to have to choose. #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: God forbid you'd ever have to walk a mile in her shoes. Then you really might know what it's like to have to choose. #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: God forbid you'd ever have to walk a mile in her shoes. Then you really might know what it's like to have to choose. #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: God forbid you'd ever have to walk a mile in her shoes. Then you really might know what it's like to have to choose. #SemST \n Stance towards the target Legalization of Abortion: Lets think about this step by step.",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
56. Here we see how environmental deterioration and human & ethical degradation are closely linked. #LaudatoSi #environment #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: 56. Here we see how environmental deterioration and human & ethical degradation are closely linked. #LaudatoSi #environment #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: 56. Here we see how environmental deterioration and human & ethical degradation are closely linked. #LaudatoSi #environment #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: 56. Here we see how environmental deterioration and human & ethical degradation are closely linked. #LaudatoSi #environment #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: 56. Here we see how environmental deterioration and human & ethical degradation are closely linked. #LaudatoSi #environment #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: 56. Here we see how environmental deterioration and human & ethical degradation are closely linked. #LaudatoSi #environment #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: 56. Here we see how environmental deterioration and human & ethical degradation are closely linked. #LaudatoSi #environment #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: 56. Here we see how environmental deterioration and human & ethical degradation are closely linked. #LaudatoSi #environment #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: 56. Here we see how environmental deterioration and human & ethical degradation are closely linked. #LaudatoSi #environment #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: 56. Here we see how environmental deterioration and human & ethical degradation are closely linked. #LaudatoSi #environment #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: 56. Here we see how environmental deterioration and human & ethical degradation are closely linked. #LaudatoSi #environment #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"
}
] |
#Mission:#Climate @ home > Buy drinking water & soda in big bottles... #Tip #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 @ home > Buy drinking water & soda in big bottles... #Tip #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 @ home > Buy drinking water & soda in big bottles... #Tip #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 @ home > Buy drinking water & soda in big bottles... #Tip #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 @ home > Buy drinking water & soda in big bottles... #Tip #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 @ home > Buy drinking water & soda in big bottles... #Tip #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 @ home > Buy drinking water & soda in big bottles... #Tip #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 @ home > Buy drinking water & soda in big bottles... #Tip #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 @ home > Buy drinking water & soda in big bottles... #Tip #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 @ home > Buy drinking water & soda in big bottles... #Tip #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 @ home > Buy drinking water & soda in big bottles... #Tip #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"
}
] |
Rent a theatre and show the movie #ChasingIce to my friends and family to spread the message of global warming. #My1500 #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: Rent a theatre and show the movie #ChasingIce to my friends and family to spread the message of global warming. #My1500 #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: Rent a theatre and show the movie #ChasingIce to my friends and family to spread the message of global warming. #My1500 #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: Rent a theatre and show the movie #ChasingIce to my friends and family to spread the message of global warming. #My1500 #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: Rent a theatre and show the movie #ChasingIce to my friends and family to spread the message of global warming. #My1500 #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: Rent a theatre and show the movie #ChasingIce to my friends and family to spread the message of global warming. #My1500 #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: Rent a theatre and show the movie #ChasingIce to my friends and family to spread the message of global warming. #My1500 #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: Rent a theatre and show the movie #ChasingIce to my friends and family to spread the message of global warming. #My1500 #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: Rent a theatre and show the movie #ChasingIce to my friends and family to spread the message of global warming. #My1500 #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: Rent a theatre and show the movie #ChasingIce to my friends and family to spread the message of global warming. #My1500 #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: Rent a theatre and show the movie #ChasingIce to my friends and family to spread the message of global warming. #My1500 #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"
}
] |
Probably not perfect for everyone--which I think is great. But this is the beginning of a conversation.
|
Hillary Clinton
|
none
|
3. The tweet is not explicitly expressing opinion. (For example, the tweet is simply giving information.)
|
pos
|
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: Probably not perfect for everyone--which I think is great. But this is the beginning of a conversation.
Stance towards the target Hillary Clinton: 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: Probably not perfect for everyone--which I think is great. But this is the beginning of a conversation. \n Stance towards the target Hillary Clinton:",
"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: Probably not perfect for everyone--which I think is great. But this is the beginning of a conversation.
Stance towards the target Hillary Clinton: 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: Probably not perfect for everyone--which I think is great. But this is the beginning of a conversation. \n Stance towards the target Hillary Clinton:",
"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: Probably not perfect for everyone--which I think is great. But this is the beginning of a conversation.
Stance towards the target Hillary Clinton: 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: Probably not perfect for everyone--which I think is great. But this is the beginning of a conversation. \n Stance towards the target Hillary Clinton:",
"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: Probably not perfect for everyone--which I think is great. But this is the beginning of a conversation.
Stance towards the target Hillary Clinton: 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: Probably not perfect for everyone--which I think is great. But this is the beginning of a conversation. \n Stance towards the target Hillary Clinton:",
"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: Probably not perfect for everyone--which I think is great. But this is the beginning of a conversation.
Stance towards the target Hillary Clinton: 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: Probably not perfect for everyone--which I think is great. But this is the beginning of a conversation. \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
Hillary must have been at the Navy Yard, under sniper fire! #SemST
|
Hillary Clinton
|
against
|
2. The tweet does NOT expresses opinion about the target but it HAS opinion about something or someone other than 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: Hillary must have been at the Navy Yard, under sniper fire! #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: Hillary must have been at the Navy Yard, under sniper fire! #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: Hillary must have been at the Navy Yard, under sniper fire! #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: Hillary must have been at the Navy Yard, under sniper fire! #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: Hillary must have been at the Navy Yard, under sniper fire! #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: Hillary must have been at the Navy Yard, under sniper fire! #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: Hillary must have been at the Navy Yard, under sniper fire! #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: Hillary must have been at the Navy Yard, under sniper fire! #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: Hillary must have been at the Navy Yard, under sniper fire! #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: Hillary must have been at the Navy Yard, under sniper fire! #SemST \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
In high school, decided to be the first woman president in 2016, but I never got into politics & don't have Trump's money. #SemST
|
Hillary Clinton
|
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: In high school, decided to be the first woman president in 2016, but I never got into politics & don't have Trump's money. #SemST
Stance towards the target Hillary Clinton: 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: In high school, decided to be the first woman president in 2016, but I never got into politics & don't have Trump's money. #SemST \n Stance towards the target Hillary Clinton:",
"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: In high school, decided to be the first woman president in 2016, but I never got into politics & don't have Trump's money. #SemST
Stance towards the target Hillary Clinton: 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: In high school, decided to be the first woman president in 2016, but I never got into politics & don't have Trump's money. #SemST \n Stance towards the target Hillary Clinton:",
"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: In high school, decided to be the first woman president in 2016, but I never got into politics & don't have Trump's money. #SemST
Stance towards the target Hillary Clinton: 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: In high school, decided to be the first woman president in 2016, but I never got into politics & don't have Trump's money. #SemST \n Stance towards the target Hillary Clinton:",
"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: In high school, decided to be the first woman president in 2016, but I never got into politics & don't have Trump's money. #SemST
Stance towards the target Hillary Clinton: 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: In high school, decided to be the first woman president in 2016, but I never got into politics & don't have Trump's money. #SemST \n Stance towards the target Hillary Clinton:",
"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: In high school, decided to be the first woman president in 2016, but I never got into politics & don't have Trump's money. #SemST
Stance towards the target Hillary Clinton: 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: In high school, decided to be the first woman president in 2016, but I never got into politics & don't have Trump's money. #SemST \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
@smileitsalicia @greekgummybear2 now i can live in peace
|
Hillary Clinton
|
none
|
3. The tweet is not explicitly expressing opinion. (For example, the tweet is simply giving information.)
|
pos
|
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: @smileitsalicia @greekgummybear2 now i can live in peace
Stance towards the target Hillary Clinton: 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: @smileitsalicia @greekgummybear2 now i can live in peace \n Stance towards the target Hillary Clinton:",
"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: @smileitsalicia @greekgummybear2 now i can live in peace
Stance towards the target Hillary Clinton: 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: @smileitsalicia @greekgummybear2 now i can live in peace \n Stance towards the target Hillary Clinton:",
"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: @smileitsalicia @greekgummybear2 now i can live in peace
Stance towards the target Hillary Clinton: 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: @smileitsalicia @greekgummybear2 now i can live in peace \n Stance towards the target Hillary Clinton:",
"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: @smileitsalicia @greekgummybear2 now i can live in peace
Stance towards the target Hillary Clinton: 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: @smileitsalicia @greekgummybear2 now i can live in peace \n Stance towards the target Hillary Clinton:",
"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: @smileitsalicia @greekgummybear2 now i can live in peace
Stance towards the target Hillary Clinton: 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: @smileitsalicia @greekgummybear2 now i can live in peace \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
Hillary Clinton for Ambassador to ISIS. #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: Hillary Clinton for Ambassador to ISIS. #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: Hillary Clinton for Ambassador to ISIS. #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: Hillary Clinton for Ambassador to ISIS. #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: Hillary Clinton for Ambassador to ISIS. #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: Hillary Clinton for Ambassador to ISIS. #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: Hillary Clinton for Ambassador to ISIS. #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: Hillary Clinton for Ambassador to ISIS. #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: Hillary Clinton for Ambassador to ISIS. #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: Hillary Clinton for Ambassador to ISIS. #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: Hillary Clinton for Ambassador to ISIS. #SemST \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
I'm a woman. Can I be President? @StopHillaryPAC #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: I'm a woman. Can I be President? @StopHillaryPAC #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: I'm a woman. Can I be President? @StopHillaryPAC #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: I'm a woman. Can I be President? @StopHillaryPAC #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: I'm a woman. Can I be President? @StopHillaryPAC #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: I'm a woman. Can I be President? @StopHillaryPAC #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: I'm a woman. Can I be President? @StopHillaryPAC #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: I'm a woman. Can I be President? @StopHillaryPAC #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: I'm a woman. Can I be President? @StopHillaryPAC #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: I'm a woman. Can I be President? @StopHillaryPAC #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: I'm a woman. Can I be President? @StopHillaryPAC #SemST \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
Shout It From The Mountain Tops. Scream Out His Name In Praise. You Don't Have To Be A Christian Or Go To Church To Worship #SemST
|
Atheism
|
against
|
2. The tweet does NOT expresses opinion about the target but it HAS opinion about something or someone other than 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: Shout It From The Mountain Tops. Scream Out His Name In Praise. You Don't Have To Be A Christian Or Go To Church To Worship #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: Shout It From The Mountain Tops. Scream Out His Name In Praise. You Don't Have To Be A Christian Or Go To Church To Worship #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: Shout It From The Mountain Tops. Scream Out His Name In Praise. You Don't Have To Be A Christian Or Go To Church To Worship #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: Shout It From The Mountain Tops. Scream Out His Name In Praise. You Don't Have To Be A Christian Or Go To Church To Worship #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: Shout It From The Mountain Tops. Scream Out His Name In Praise. You Don't Have To Be A Christian Or Go To Church To Worship #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: Shout It From The Mountain Tops. Scream Out His Name In Praise. You Don't Have To Be A Christian Or Go To Church To Worship #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: Shout It From The Mountain Tops. Scream Out His Name In Praise. You Don't Have To Be A Christian Or Go To Church To Worship #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: Shout It From The Mountain Tops. Scream Out His Name In Praise. You Don't Have To Be A Christian Or Go To Church To Worship #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: Shout It From The Mountain Tops. Scream Out His Name In Praise. You Don't Have To Be A Christian Or Go To Church To Worship #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: Shout It From The Mountain Tops. Scream Out His Name In Praise. You Don't Have To Be A Christian Or Go To Church To Worship #SemST \n Stance towards the target Atheism: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
I think Marcus is slightly scared of my radical liberal side #feministally #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: I think Marcus is slightly scared of my radical liberal side #feministally #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: I think Marcus is slightly scared of my radical liberal side #feministally #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: I think Marcus is slightly scared of my radical liberal side #feministally #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: I think Marcus is slightly scared of my radical liberal side #feministally #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: I think Marcus is slightly scared of my radical liberal side #feministally #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: I think Marcus is slightly scared of my radical liberal side #feministally #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: I think Marcus is slightly scared of my radical liberal side #feministally #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: I think Marcus is slightly scared of my radical liberal side #feministally #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: I think Marcus is slightly scared of my radical liberal side #feministally #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: I think Marcus is slightly scared of my radical liberal side #feministally #SemST \n Stance towards the target Legalization of Abortion: Lets think about this step by step.",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
Do not be discouraged when things dont happen like you planned. #God has better in store. Keep pressing forward! #teamPerserverance #SemST
|
Atheism
|
against
|
2. The tweet does NOT expresses opinion about the target but it HAS opinion about something or someone other than 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: Do not be discouraged when things dont happen like you planned. #God has better in store. Keep pressing forward! #teamPerserverance #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: Do not be discouraged when things dont happen like you planned. #God has better in store. Keep pressing forward! #teamPerserverance #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: Do not be discouraged when things dont happen like you planned. #God has better in store. Keep pressing forward! #teamPerserverance #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: Do not be discouraged when things dont happen like you planned. #God has better in store. Keep pressing forward! #teamPerserverance #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: Do not be discouraged when things dont happen like you planned. #God has better in store. Keep pressing forward! #teamPerserverance #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: Do not be discouraged when things dont happen like you planned. #God has better in store. Keep pressing forward! #teamPerserverance #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: Do not be discouraged when things dont happen like you planned. #God has better in store. Keep pressing forward! #teamPerserverance #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: Do not be discouraged when things dont happen like you planned. #God has better in store. Keep pressing forward! #teamPerserverance #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: Do not be discouraged when things dont happen like you planned. #God has better in store. Keep pressing forward! #teamPerserverance #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: Do not be discouraged when things dont happen like you planned. #God has better in store. Keep pressing forward! #teamPerserverance #SemST \n Stance towards the target Atheism: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
@wendydavis Pray?? You want me to PRAY that abortions and dangerous facilities remain unchecked?? #facepalm #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: @wendydavis Pray?? You want me to PRAY that abortions and dangerous facilities remain unchecked?? #facepalm #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: @wendydavis Pray?? You want me to PRAY that abortions and dangerous facilities remain unchecked?? #facepalm #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: @wendydavis Pray?? You want me to PRAY that abortions and dangerous facilities remain unchecked?? #facepalm #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: @wendydavis Pray?? You want me to PRAY that abortions and dangerous facilities remain unchecked?? #facepalm #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: @wendydavis Pray?? You want me to PRAY that abortions and dangerous facilities remain unchecked?? #facepalm #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: @wendydavis Pray?? You want me to PRAY that abortions and dangerous facilities remain unchecked?? #facepalm #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: @wendydavis Pray?? You want me to PRAY that abortions and dangerous facilities remain unchecked?? #facepalm #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: @wendydavis Pray?? You want me to PRAY that abortions and dangerous facilities remain unchecked?? #facepalm #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: @wendydavis Pray?? You want me to PRAY that abortions and dangerous facilities remain unchecked?? #facepalm #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: @wendydavis Pray?? You want me to PRAY that abortions and dangerous facilities remain unchecked?? #facepalm #SemST \n Stance towards the target Legalization of Abortion: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
@clairecmc @RosieGray is that why she and @ClintonGlobal take that #Saudi money? #SaudiCables #SaudiCables #clinton2016 #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: @clairecmc @RosieGray is that why she and @ClintonGlobal take that #Saudi money? #SaudiCables #SaudiCables #clinton2016 #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: @clairecmc @RosieGray is that why she and @ClintonGlobal take that #Saudi money? #SaudiCables #SaudiCables #clinton2016 #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: @clairecmc @RosieGray is that why she and @ClintonGlobal take that #Saudi money? #SaudiCables #SaudiCables #clinton2016 #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: @clairecmc @RosieGray is that why she and @ClintonGlobal take that #Saudi money? #SaudiCables #SaudiCables #clinton2016 #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: @clairecmc @RosieGray is that why she and @ClintonGlobal take that #Saudi money? #SaudiCables #SaudiCables #clinton2016 #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: @clairecmc @RosieGray is that why she and @ClintonGlobal take that #Saudi money? #SaudiCables #SaudiCables #clinton2016 #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: @clairecmc @RosieGray is that why she and @ClintonGlobal take that #Saudi money? #SaudiCables #SaudiCables #clinton2016 #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: @clairecmc @RosieGray is that why she and @ClintonGlobal take that #Saudi money? #SaudiCables #SaudiCables #clinton2016 #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: @clairecmc @RosieGray is that why she and @ClintonGlobal take that #Saudi money? #SaudiCables #SaudiCables #clinton2016 #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: @clairecmc @RosieGray is that why she and @ClintonGlobal take that #Saudi money? #SaudiCables #SaudiCables #clinton2016 #SemST \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
@bethanyshondark do you mean Bristol? She was just being honest about her feelings - many can relate - hope they choose life too! #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.
|
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: @bethanyshondark do you mean Bristol? She was just being honest about her feelings - many can relate - hope they choose life too! #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: @bethanyshondark do you mean Bristol? She was just being honest about her feelings - many can relate - hope they choose life too! #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: @bethanyshondark do you mean Bristol? She was just being honest about her feelings - many can relate - hope they choose life too! #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: @bethanyshondark do you mean Bristol? She was just being honest about her feelings - many can relate - hope they choose life too! #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: @bethanyshondark do you mean Bristol? She was just being honest about her feelings - many can relate - hope they choose life too! #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: @bethanyshondark do you mean Bristol? She was just being honest about her feelings - many can relate - hope they choose life too! #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: @bethanyshondark do you mean Bristol? She was just being honest about her feelings - many can relate - hope they choose life too! #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: @bethanyshondark do you mean Bristol? She was just being honest about her feelings - many can relate - hope they choose life too! #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: @bethanyshondark do you mean Bristol? She was just being honest about her feelings - many can relate - hope they choose life too! #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: @bethanyshondark do you mean Bristol? She was just being honest about her feelings - many can relate - hope they choose life too! #SemST \n Stance towards the target Legalization of Abortion: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
STOP! Hold your peace and allow the All Powerful God time to fight the battle. Then, "You Win!" #believe #truth #hope #ButGod #SemST
|
Atheism
|
against
|
2. The tweet does NOT expresses opinion about the target but it HAS opinion about something or someone other than 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: STOP! Hold your peace and allow the All Powerful God time to fight the battle. Then, "You Win!" #believe #truth #hope #ButGod #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: STOP! Hold your peace and allow the All Powerful God time to fight the battle. Then, \"You Win!\" #believe #truth #hope #ButGod #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: STOP! Hold your peace and allow the All Powerful God time to fight the battle. Then, "You Win!" #believe #truth #hope #ButGod #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: STOP! Hold your peace and allow the All Powerful God time to fight the battle. Then, \"You Win!\" #believe #truth #hope #ButGod #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: STOP! Hold your peace and allow the All Powerful God time to fight the battle. Then, "You Win!" #believe #truth #hope #ButGod #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: STOP! Hold your peace and allow the All Powerful God time to fight the battle. Then, \"You Win!\" #believe #truth #hope #ButGod #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: STOP! Hold your peace and allow the All Powerful God time to fight the battle. Then, "You Win!" #believe #truth #hope #ButGod #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: STOP! Hold your peace and allow the All Powerful God time to fight the battle. Then, \"You Win!\" #believe #truth #hope #ButGod #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: STOP! Hold your peace and allow the All Powerful God time to fight the battle. Then, "You Win!" #believe #truth #hope #ButGod #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: STOP! Hold your peace and allow the All Powerful God time to fight the battle. Then, \"You Win!\" #believe #truth #hope #ButGod #SemST \n Stance towards the target Atheism: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
@theblaze gee, what a busy schedule she had. #SemST
|
Hillary Clinton
|
against
|
2. The tweet does NOT expresses opinion about the target but it HAS opinion about something or someone other than the target.
|
other
|
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: @theblaze gee, what a busy schedule she had. #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: @theblaze gee, what a busy schedule she had. #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: @theblaze gee, what a busy schedule she had. #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: @theblaze gee, what a busy schedule she had. #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: @theblaze gee, what a busy schedule she had. #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: @theblaze gee, what a busy schedule she had. #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: @theblaze gee, what a busy schedule she had. #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: @theblaze gee, what a busy schedule she had. #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: @theblaze gee, what a busy schedule she had. #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: @theblaze gee, what a busy schedule she had. #SemST \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
@brasfildtsb He hit the nail on the head. We're (hopefully) on the edge of a paradigm shift on #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.
|
pos
|
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: @brasfildtsb He hit the nail on the head. We're (hopefully) on the edge of a paradigm shift on #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: @brasfildtsb He hit the nail on the head. We're (hopefully) on the edge of a paradigm shift on #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: @brasfildtsb He hit the nail on the head. We're (hopefully) on the edge of a paradigm shift on #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: @brasfildtsb He hit the nail on the head. We're (hopefully) on the edge of a paradigm shift on #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: @brasfildtsb He hit the nail on the head. We're (hopefully) on the edge of a paradigm shift on #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: @brasfildtsb He hit the nail on the head. We're (hopefully) on the edge of a paradigm shift on #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: @brasfildtsb He hit the nail on the head. We're (hopefully) on the edge of a paradigm shift on #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: @brasfildtsb He hit the nail on the head. We're (hopefully) on the edge of a paradigm shift on #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: @brasfildtsb He hit the nail on the head. We're (hopefully) on the edge of a paradigm shift on #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: @brasfildtsb He hit the nail on the head. We're (hopefully) on the edge of a paradigm shift on #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 could never take the idea of religion very seriously. ~Joyce Carol Oates #SemST
|
Atheism
|
against
|
2. The tweet does NOT expresses opinion about the target but it HAS opinion about something or someone other than 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: I could never take the idea of religion very seriously. ~Joyce Carol Oates #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 could never take the idea of religion very seriously. ~Joyce Carol Oates #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 could never take the idea of religion very seriously. ~Joyce Carol Oates #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 could never take the idea of religion very seriously. ~Joyce Carol Oates #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 could never take the idea of religion very seriously. ~Joyce Carol Oates #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 could never take the idea of religion very seriously. ~Joyce Carol Oates #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 could never take the idea of religion very seriously. ~Joyce Carol Oates #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 could never take the idea of religion very seriously. ~Joyce Carol Oates #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 could never take the idea of religion very seriously. ~Joyce Carol Oates #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 could never take the idea of religion very seriously. ~Joyce Carol Oates #SemST \n Stance towards the target Atheism: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
Heads up, everyone in America benfits from #SemST
|
Feminist Movement
|
against
|
2. The tweet does NOT expresses opinion about the target but it HAS opinion about something or someone other than 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: Heads up, everyone in America benfits from #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: Heads up, everyone in America benfits from #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: Heads up, everyone in America benfits from #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: Heads up, everyone in America benfits from #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: Heads up, everyone in America benfits from #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: Heads up, everyone in America benfits from #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: Heads up, everyone in America benfits from #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: Heads up, everyone in America benfits from #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: Heads up, everyone in America benfits from #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: Heads up, everyone in America benfits from #SemST \n Stance towards the target Feminist Movement: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
feminist response people wearing meninist clothes- mock them or call them derogatory names? NOT A HATE GROUP ??? #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: feminist response people wearing meninist clothes- mock them or call them derogatory names? NOT A HATE GROUP ??? #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: feminist response people wearing meninist clothes- mock them or call them derogatory names? NOT A HATE GROUP ??? #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: feminist response people wearing meninist clothes- mock them or call them derogatory names? NOT A HATE GROUP ??? #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: feminist response people wearing meninist clothes- mock them or call them derogatory names? NOT A HATE GROUP ??? #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: feminist response people wearing meninist clothes- mock them or call them derogatory names? NOT A HATE GROUP ??? #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: feminist response people wearing meninist clothes- mock them or call them derogatory names? NOT A HATE GROUP ??? #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: feminist response people wearing meninist clothes- mock them or call them derogatory names? NOT A HATE GROUP ??? #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: feminist response people wearing meninist clothes- mock them or call them derogatory names? NOT A HATE GROUP ??? #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: feminist response people wearing meninist clothes- mock them or call them derogatory names? NOT A HATE GROUP ??? #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: feminist response people wearing meninist clothes- mock them or call them derogatory names? NOT A HATE GROUP ??? #SemST \n Stance towards the target Feminist Movement: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
Hilliary: I provided all work related emails State Dept: There are work related emails you didn't provide #Hillaredacted #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: Hilliary: I provided all work related emails State Dept: There are work related emails you didn't provide #Hillaredacted #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: Hilliary: I provided all work related emails State Dept: There are work related emails you didn't provide #Hillaredacted #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: Hilliary: I provided all work related emails State Dept: There are work related emails you didn't provide #Hillaredacted #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: Hilliary: I provided all work related emails State Dept: There are work related emails you didn't provide #Hillaredacted #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: Hilliary: I provided all work related emails State Dept: There are work related emails you didn't provide #Hillaredacted #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: Hilliary: I provided all work related emails State Dept: There are work related emails you didn't provide #Hillaredacted #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: Hilliary: I provided all work related emails State Dept: There are work related emails you didn't provide #Hillaredacted #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: Hilliary: I provided all work related emails State Dept: There are work related emails you didn't provide #Hillaredacted #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: Hilliary: I provided all work related emails State Dept: There are work related emails you didn't provide #Hillaredacted #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: Hilliary: I provided all work related emails State Dept: There are work related emails you didn't provide #Hillaredacted #SemST \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
@Molls30 @HillaryClinton I love it! One of our biggest donors is Saudi Arabia. They support women's rights completely! #GoTeam #SemST
|
Hillary Clinton
|
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: @Molls30 @HillaryClinton I love it! One of our biggest donors is Saudi Arabia. They support women's rights completely! #GoTeam #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: @Molls30 @HillaryClinton I love it! One of our biggest donors is Saudi Arabia. They support women's rights completely! #GoTeam #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: @Molls30 @HillaryClinton I love it! One of our biggest donors is Saudi Arabia. They support women's rights completely! #GoTeam #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: @Molls30 @HillaryClinton I love it! One of our biggest donors is Saudi Arabia. They support women's rights completely! #GoTeam #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: @Molls30 @HillaryClinton I love it! One of our biggest donors is Saudi Arabia. They support women's rights completely! #GoTeam #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: @Molls30 @HillaryClinton I love it! One of our biggest donors is Saudi Arabia. They support women's rights completely! #GoTeam #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: @Molls30 @HillaryClinton I love it! One of our biggest donors is Saudi Arabia. They support women's rights completely! #GoTeam #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: @Molls30 @HillaryClinton I love it! One of our biggest donors is Saudi Arabia. They support women's rights completely! #GoTeam #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: @Molls30 @HillaryClinton I love it! One of our biggest donors is Saudi Arabia. They support women's rights completely! #GoTeam #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: @Molls30 @HillaryClinton I love it! One of our biggest donors is Saudi Arabia. They support women's rights completely! #GoTeam #SemST \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
@readyforHRC Support encourage #HillaryClinton president #UnitedStates world is success of women in world #SemST
|
Hillary Clinton
|
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: @readyforHRC Support encourage #HillaryClinton president #UnitedStates world is success of women in world #SemST
Stance towards the target Hillary Clinton: 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: @readyforHRC Support encourage #HillaryClinton president #UnitedStates world is success of women in world #SemST \n Stance towards the target Hillary Clinton:",
"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: @readyforHRC Support encourage #HillaryClinton president #UnitedStates world is success of women in world #SemST
Stance towards the target Hillary Clinton: 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: @readyforHRC Support encourage #HillaryClinton president #UnitedStates world is success of women in world #SemST \n Stance towards the target Hillary Clinton:",
"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: @readyforHRC Support encourage #HillaryClinton president #UnitedStates world is success of women in world #SemST
Stance towards the target Hillary Clinton: 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: @readyforHRC Support encourage #HillaryClinton president #UnitedStates world is success of women in world #SemST \n Stance towards the target Hillary Clinton:",
"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: @readyforHRC Support encourage #HillaryClinton president #UnitedStates world is success of women in world #SemST
Stance towards the target Hillary Clinton: 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: @readyforHRC Support encourage #HillaryClinton president #UnitedStates world is success of women in world #SemST \n Stance towards the target Hillary Clinton:",
"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: @readyforHRC Support encourage #HillaryClinton president #UnitedStates world is success of women in world #SemST
Stance towards the target Hillary Clinton: 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: @readyforHRC Support encourage #HillaryClinton president #UnitedStates world is success of women in world #SemST \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
There use to be a glacier on the equator. #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: There use to be a glacier on the equator. #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: There use to be a glacier on the equator. #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: There use to be a glacier on the equator. #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: There use to be a glacier on the equator. #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: There use to be a glacier on the equator. #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: There use to be a glacier on the equator. #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: There use to be a glacier on the equator. #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: There use to be a glacier on the equator. #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: There use to be a glacier on the equator. #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: There use to be a glacier on the equator. #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"
}
] |
@Daily_Feminism -- give us a follow back. #feminist #SemST
|
Feminist Movement
|
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: @Daily_Feminism -- give us a follow back. #feminist #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: @Daily_Feminism -- give us a follow back. #feminist #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: @Daily_Feminism -- give us a follow back. #feminist #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: @Daily_Feminism -- give us a follow back. #feminist #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: @Daily_Feminism -- give us a follow back. #feminist #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: @Daily_Feminism -- give us a follow back. #feminist #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: @Daily_Feminism -- give us a follow back. #feminist #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: @Daily_Feminism -- give us a follow back. #feminist #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: @Daily_Feminism -- give us a follow back. #feminist #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: @Daily_Feminism -- give us a follow back. #feminist #SemST \n Stance towards the target Feminist Movement: Lets think about this step by step.",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
DEAR FEMINISTS So I am a waste of time for not joining your feminist cult? Mormons say the same when close the door. #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: DEAR FEMINISTS So I am a waste of time for not joining your feminist cult? Mormons say the same when close the door. #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: DEAR FEMINISTS So I am a waste of time for not joining your feminist cult? Mormons say the same when close the door. #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: DEAR FEMINISTS So I am a waste of time for not joining your feminist cult? Mormons say the same when close the door. #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: DEAR FEMINISTS So I am a waste of time for not joining your feminist cult? Mormons say the same when close the door. #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: DEAR FEMINISTS So I am a waste of time for not joining your feminist cult? Mormons say the same when close the door. #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: DEAR FEMINISTS So I am a waste of time for not joining your feminist cult? Mormons say the same when close the door. #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: DEAR FEMINISTS So I am a waste of time for not joining your feminist cult? Mormons say the same when close the door. #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: DEAR FEMINISTS So I am a waste of time for not joining your feminist cult? Mormons say the same when close the door. #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: DEAR FEMINISTS So I am a waste of time for not joining your feminist cult? Mormons say the same when close the door. #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: DEAR FEMINISTS So I am a waste of time for not joining your feminist cult? Mormons say the same when close the door. #SemST \n Stance towards the target Feminist Movement: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
Apparently, @BernieSanders fans don't like to see Hillary's name even implied. #SheWhoShallNotBeNamedBecauseShesWinning #SemST
|
Hillary Clinton
|
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: Apparently, @BernieSanders fans don't like to see Hillary's name even implied. #SheWhoShallNotBeNamedBecauseShesWinning #SemST
Stance towards the target Hillary Clinton: 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: Apparently, @BernieSanders fans don't like to see Hillary's name even implied. #SheWhoShallNotBeNamedBecauseShesWinning #SemST \n Stance towards the target Hillary Clinton:",
"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: Apparently, @BernieSanders fans don't like to see Hillary's name even implied. #SheWhoShallNotBeNamedBecauseShesWinning #SemST
Stance towards the target Hillary Clinton: 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: Apparently, @BernieSanders fans don't like to see Hillary's name even implied. #SheWhoShallNotBeNamedBecauseShesWinning #SemST \n Stance towards the target Hillary Clinton:",
"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: Apparently, @BernieSanders fans don't like to see Hillary's name even implied. #SheWhoShallNotBeNamedBecauseShesWinning #SemST
Stance towards the target Hillary Clinton: 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: Apparently, @BernieSanders fans don't like to see Hillary's name even implied. #SheWhoShallNotBeNamedBecauseShesWinning #SemST \n Stance towards the target Hillary Clinton:",
"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: Apparently, @BernieSanders fans don't like to see Hillary's name even implied. #SheWhoShallNotBeNamedBecauseShesWinning #SemST
Stance towards the target Hillary Clinton: 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: Apparently, @BernieSanders fans don't like to see Hillary's name even implied. #SheWhoShallNotBeNamedBecauseShesWinning #SemST \n Stance towards the target Hillary Clinton:",
"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: Apparently, @BernieSanders fans don't like to see Hillary's name even implied. #SheWhoShallNotBeNamedBecauseShesWinning #SemST
Stance towards the target Hillary Clinton: 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: Apparently, @BernieSanders fans don't like to see Hillary's name even implied. #SheWhoShallNotBeNamedBecauseShesWinning #SemST \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
RT gamergatenews: RT CaptHaddock83: Ha Ha hilarious! #Feminists desending on #SpankAFeminist like mad harpies, #SJWs #game... #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: RT gamergatenews: RT CaptHaddock83: Ha Ha hilarious! #Feminists desending on #SpankAFeminist like mad harpies, #SJWs #game... #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: RT gamergatenews: RT CaptHaddock83: Ha Ha hilarious! #Feminists desending on #SpankAFeminist like mad harpies, #SJWs #game... #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: RT gamergatenews: RT CaptHaddock83: Ha Ha hilarious! #Feminists desending on #SpankAFeminist like mad harpies, #SJWs #game... #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: RT gamergatenews: RT CaptHaddock83: Ha Ha hilarious! #Feminists desending on #SpankAFeminist like mad harpies, #SJWs #game... #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: RT gamergatenews: RT CaptHaddock83: Ha Ha hilarious! #Feminists desending on #SpankAFeminist like mad harpies, #SJWs #game... #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: RT gamergatenews: RT CaptHaddock83: Ha Ha hilarious! #Feminists desending on #SpankAFeminist like mad harpies, #SJWs #game... #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: RT gamergatenews: RT CaptHaddock83: Ha Ha hilarious! #Feminists desending on #SpankAFeminist like mad harpies, #SJWs #game... #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: RT gamergatenews: RT CaptHaddock83: Ha Ha hilarious! #Feminists desending on #SpankAFeminist like mad harpies, #SJWs #game... #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: RT gamergatenews: RT CaptHaddock83: Ha Ha hilarious! #Feminists desending on #SpankAFeminist like mad harpies, #SJWs #game... #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: RT gamergatenews: RT CaptHaddock83: Ha Ha hilarious! #Feminists desending on #SpankAFeminist like mad harpies, #SJWs #game... #SemST \n Stance towards the target Feminist Movement: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
RT @PinkGypsySoul: The single most important factor for women's advancement in society is our ability to control our fertility. #SemST
|
Legalization of Abortion
|
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: RT @PinkGypsySoul: The single most important factor for women's advancement in society is our ability to control our fertility. #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: RT @PinkGypsySoul: The single most important factor for women's advancement in society is our ability to control our fertility. #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: RT @PinkGypsySoul: The single most important factor for women's advancement in society is our ability to control our fertility. #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: RT @PinkGypsySoul: The single most important factor for women's advancement in society is our ability to control our fertility. #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: RT @PinkGypsySoul: The single most important factor for women's advancement in society is our ability to control our fertility. #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: RT @PinkGypsySoul: The single most important factor for women's advancement in society is our ability to control our fertility. #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: RT @PinkGypsySoul: The single most important factor for women's advancement in society is our ability to control our fertility. #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: RT @PinkGypsySoul: The single most important factor for women's advancement in society is our ability to control our fertility. #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: RT @PinkGypsySoul: The single most important factor for women's advancement in society is our ability to control our fertility. #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: RT @PinkGypsySoul: The single most important factor for women's advancement in society is our ability to control our fertility. #SemST \n Stance towards the target Legalization of Abortion: Lets think about this step by step.",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
Pupils in P5-7 from Lincluden Primary are participating in Carbon Busters Project 2015-2016! #LearningForSustainability #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: Pupils in P5-7 from Lincluden Primary are participating in Carbon Busters Project 2015-2016! #LearningForSustainability #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: Pupils in P5-7 from Lincluden Primary are participating in Carbon Busters Project 2015-2016! #LearningForSustainability #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: Pupils in P5-7 from Lincluden Primary are participating in Carbon Busters Project 2015-2016! #LearningForSustainability #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: Pupils in P5-7 from Lincluden Primary are participating in Carbon Busters Project 2015-2016! #LearningForSustainability #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: Pupils in P5-7 from Lincluden Primary are participating in Carbon Busters Project 2015-2016! #LearningForSustainability #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: Pupils in P5-7 from Lincluden Primary are participating in Carbon Busters Project 2015-2016! #LearningForSustainability #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: Pupils in P5-7 from Lincluden Primary are participating in Carbon Busters Project 2015-2016! #LearningForSustainability #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: Pupils in P5-7 from Lincluden Primary are participating in Carbon Busters Project 2015-2016! #LearningForSustainability #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: Pupils in P5-7 from Lincluden Primary are participating in Carbon Busters Project 2015-2016! #LearningForSustainability #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: Pupils in P5-7 from Lincluden Primary are participating in Carbon Busters Project 2015-2016! #LearningForSustainability #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 #right to #life should be the #first among #humanrights -Pope Francisyouthgen #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.
|
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: The #right to #life should be the #first among #humanrights -Pope Francisyouthgen #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 #right to #life should be the #first among #humanrights -Pope Francisyouthgen #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 #right to #life should be the #first among #humanrights -Pope Francisyouthgen #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 #right to #life should be the #first among #humanrights -Pope Francisyouthgen #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 #right to #life should be the #first among #humanrights -Pope Francisyouthgen #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 #right to #life should be the #first among #humanrights -Pope Francisyouthgen #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 #right to #life should be the #first among #humanrights -Pope Francisyouthgen #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 #right to #life should be the #first among #humanrights -Pope Francisyouthgen #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 #right to #life should be the #first among #humanrights -Pope Francisyouthgen #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 #right to #life should be the #first among #humanrights -Pope Francisyouthgen #SemST \n Stance towards the target Legalization of Abortion: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
@megynkelly Hahahaha combed through emails!!! Bunch of scumbags!!! #NoHillary2016 #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: @megynkelly Hahahaha combed through emails!!! Bunch of scumbags!!! #NoHillary2016 #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: @megynkelly Hahahaha combed through emails!!! Bunch of scumbags!!! #NoHillary2016 #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: @megynkelly Hahahaha combed through emails!!! Bunch of scumbags!!! #NoHillary2016 #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: @megynkelly Hahahaha combed through emails!!! Bunch of scumbags!!! #NoHillary2016 #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: @megynkelly Hahahaha combed through emails!!! Bunch of scumbags!!! #NoHillary2016 #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: @megynkelly Hahahaha combed through emails!!! Bunch of scumbags!!! #NoHillary2016 #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: @megynkelly Hahahaha combed through emails!!! Bunch of scumbags!!! #NoHillary2016 #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: @megynkelly Hahahaha combed through emails!!! Bunch of scumbags!!! #NoHillary2016 #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: @megynkelly Hahahaha combed through emails!!! Bunch of scumbags!!! #NoHillary2016 #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: @megynkelly Hahahaha combed through emails!!! Bunch of scumbags!!! #NoHillary2016 #SemST \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
@CandiesOrg Oops she did it again Bristol is PREGNANT. Candies is a waste. U paid her 400,000 for WHAT? PPL Send ur $ to #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: @CandiesOrg Oops she did it again Bristol is PREGNANT. Candies is a waste. U paid her 400,000 for WHAT? PPL Send ur $ to #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: @CandiesOrg Oops she did it again Bristol is PREGNANT. Candies is a waste. U paid her 400,000 for WHAT? PPL Send ur $ to #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: @CandiesOrg Oops she did it again Bristol is PREGNANT. Candies is a waste. U paid her 400,000 for WHAT? PPL Send ur $ to #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: @CandiesOrg Oops she did it again Bristol is PREGNANT. Candies is a waste. U paid her 400,000 for WHAT? PPL Send ur $ to #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: @CandiesOrg Oops she did it again Bristol is PREGNANT. Candies is a waste. U paid her 400,000 for WHAT? PPL Send ur $ to #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: @CandiesOrg Oops she did it again Bristol is PREGNANT. Candies is a waste. U paid her 400,000 for WHAT? PPL Send ur $ to #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: @CandiesOrg Oops she did it again Bristol is PREGNANT. Candies is a waste. U paid her 400,000 for WHAT? PPL Send ur $ to #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: @CandiesOrg Oops she did it again Bristol is PREGNANT. Candies is a waste. U paid her 400,000 for WHAT? PPL Send ur $ to #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: @CandiesOrg Oops she did it again Bristol is PREGNANT. Candies is a waste. U paid her 400,000 for WHAT? PPL Send ur $ to #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: @CandiesOrg Oops she did it again Bristol is PREGNANT. Candies is a waste. U paid her 400,000 for WHAT? PPL Send ur $ to #SemST \n Stance towards the target Legalization of Abortion: Lets think about this step by step.",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
A #kingdom has a particular #culture, a way of doing things (Ed Welch). #SemST
|
Atheism
|
none
|
2. The tweet does NOT expresses opinion about the target but it HAS opinion about something or someone other than the target.
|
pos
|
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: A #kingdom has a particular #culture, a way of doing things (Ed Welch). #SemST
Stance towards the target Atheism: 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: A #kingdom has a particular #culture, a way of doing things (Ed Welch). #SemST \n Stance towards the target Atheism:",
"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: A #kingdom has a particular #culture, a way of doing things (Ed Welch). #SemST
Stance towards the target Atheism: 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: A #kingdom has a particular #culture, a way of doing things (Ed Welch). #SemST \n Stance towards the target Atheism:",
"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: A #kingdom has a particular #culture, a way of doing things (Ed Welch). #SemST
Stance towards the target Atheism: 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: A #kingdom has a particular #culture, a way of doing things (Ed Welch). #SemST \n Stance towards the target Atheism:",
"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: A #kingdom has a particular #culture, a way of doing things (Ed Welch). #SemST
Stance towards the target Atheism: 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: A #kingdom has a particular #culture, a way of doing things (Ed Welch). #SemST \n Stance towards the target Atheism:",
"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: A #kingdom has a particular #culture, a way of doing things (Ed Welch). #SemST
Stance towards the target Atheism: 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: A #kingdom has a particular #culture, a way of doing things (Ed Welch). #SemST \n Stance towards the target Atheism: Lets think about this step by step.",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
Exciting to hear more about our Fellows all across the country on tonight's call. Special shout-out to the #FellowsIA. #SemST
|
Hillary Clinton
|
none
|
2. The tweet does NOT expresses opinion about the target but it HAS opinion about something or someone other than the target.
|
pos
|
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: Exciting to hear more about our Fellows all across the country on tonight's call. Special shout-out to the #FellowsIA. #SemST
Stance towards the target Hillary Clinton: 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: Exciting to hear more about our Fellows all across the country on tonight's call. Special shout-out to the #FellowsIA. #SemST \n Stance towards the target Hillary Clinton:",
"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: Exciting to hear more about our Fellows all across the country on tonight's call. Special shout-out to the #FellowsIA. #SemST
Stance towards the target Hillary Clinton: 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: Exciting to hear more about our Fellows all across the country on tonight's call. Special shout-out to the #FellowsIA. #SemST \n Stance towards the target Hillary Clinton:",
"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: Exciting to hear more about our Fellows all across the country on tonight's call. Special shout-out to the #FellowsIA. #SemST
Stance towards the target Hillary Clinton: 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: Exciting to hear more about our Fellows all across the country on tonight's call. Special shout-out to the #FellowsIA. #SemST \n Stance towards the target Hillary Clinton:",
"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: Exciting to hear more about our Fellows all across the country on tonight's call. Special shout-out to the #FellowsIA. #SemST
Stance towards the target Hillary Clinton: 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: Exciting to hear more about our Fellows all across the country on tonight's call. Special shout-out to the #FellowsIA. #SemST \n Stance towards the target Hillary Clinton:",
"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: Exciting to hear more about our Fellows all across the country on tonight's call. Special shout-out to the #FellowsIA. #SemST
Stance towards the target Hillary Clinton: 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: Exciting to hear more about our Fellows all across the country on tonight's call. Special shout-out to the #FellowsIA. #SemST \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
@enilk1988: @Chris_1791 @Doodisgirl thought it was just tissue" #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.
|
other
|
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: @enilk1988: @Chris_1791 @Doodisgirl thought it was just tissue" #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: @enilk1988: @Chris_1791 @Doodisgirl thought it was just tissue\" #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: @enilk1988: @Chris_1791 @Doodisgirl thought it was just tissue" #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: @enilk1988: @Chris_1791 @Doodisgirl thought it was just tissue\" #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: @enilk1988: @Chris_1791 @Doodisgirl thought it was just tissue" #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: @enilk1988: @Chris_1791 @Doodisgirl thought it was just tissue\" #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: @enilk1988: @Chris_1791 @Doodisgirl thought it was just tissue" #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: @enilk1988: @Chris_1791 @Doodisgirl thought it was just tissue\" #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: @enilk1988: @Chris_1791 @Doodisgirl thought it was just tissue" #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: @enilk1988: @Chris_1791 @Doodisgirl thought it was just tissue\" #SemST \n Stance towards the target Legalization of Abortion: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
Just give me the attention you never gave anyone else. #ExtremeRules #NepalEarthquake #FreddieGray #RHOAReunion #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: Just give me the attention you never gave anyone else. #ExtremeRules #NepalEarthquake #FreddieGray #RHOAReunion #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: Just give me the attention you never gave anyone else. #ExtremeRules #NepalEarthquake #FreddieGray #RHOAReunion #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: Just give me the attention you never gave anyone else. #ExtremeRules #NepalEarthquake #FreddieGray #RHOAReunion #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: Just give me the attention you never gave anyone else. #ExtremeRules #NepalEarthquake #FreddieGray #RHOAReunion #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: Just give me the attention you never gave anyone else. #ExtremeRules #NepalEarthquake #FreddieGray #RHOAReunion #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: Just give me the attention you never gave anyone else. #ExtremeRules #NepalEarthquake #FreddieGray #RHOAReunion #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: Just give me the attention you never gave anyone else. #ExtremeRules #NepalEarthquake #FreddieGray #RHOAReunion #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: Just give me the attention you never gave anyone else. #ExtremeRules #NepalEarthquake #FreddieGray #RHOAReunion #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: Just give me the attention you never gave anyone else. #ExtremeRules #NepalEarthquake #FreddieGray #RHOAReunion #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: Just give me the attention you never gave anyone else. #ExtremeRules #NepalEarthquake #FreddieGray #RHOAReunion #SemST \n Stance towards the target Feminist Movement: Lets think about this step by step.",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
GA: AIW Support Strong Compass. Global Climate Agreement: passed #uuaga #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: GA: AIW Support Strong Compass. Global Climate Agreement: passed #uuaga #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: GA: AIW Support Strong Compass. Global Climate Agreement: passed #uuaga #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: GA: AIW Support Strong Compass. Global Climate Agreement: passed #uuaga #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: GA: AIW Support Strong Compass. Global Climate Agreement: passed #uuaga #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: GA: AIW Support Strong Compass. Global Climate Agreement: passed #uuaga #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: GA: AIW Support Strong Compass. Global Climate Agreement: passed #uuaga #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: GA: AIW Support Strong Compass. Global Climate Agreement: passed #uuaga #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: GA: AIW Support Strong Compass. Global Climate Agreement: passed #uuaga #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: GA: AIW Support Strong Compass. Global Climate Agreement: passed #uuaga #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: GA: AIW Support Strong Compass. Global Climate Agreement: passed #uuaga #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"
}
] |
National announces plan to put out fire in pantry. Rest of the house can burn baby, burn. #sameoldshit #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: National announces plan to put out fire in pantry. Rest of the house can burn baby, burn. #sameoldshit #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: National announces plan to put out fire in pantry. Rest of the house can burn baby, burn. #sameoldshit #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: National announces plan to put out fire in pantry. Rest of the house can burn baby, burn. #sameoldshit #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: National announces plan to put out fire in pantry. Rest of the house can burn baby, burn. #sameoldshit #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: National announces plan to put out fire in pantry. Rest of the house can burn baby, burn. #sameoldshit #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: National announces plan to put out fire in pantry. Rest of the house can burn baby, burn. #sameoldshit #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: National announces plan to put out fire in pantry. Rest of the house can burn baby, burn. #sameoldshit #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: National announces plan to put out fire in pantry. Rest of the house can burn baby, burn. #sameoldshit #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: National announces plan to put out fire in pantry. Rest of the house can burn baby, burn. #sameoldshit #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: National announces plan to put out fire in pantry. Rest of the house can burn baby, burn. #sameoldshit #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"
}
] |
Thought that goes through my mind on a regular basis: would you have said that to me if I was a man? #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: Thought that goes through my mind on a regular basis: would you have said that to me if I was a man? #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: Thought that goes through my mind on a regular basis: would you have said that to me if I was a man? #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: Thought that goes through my mind on a regular basis: would you have said that to me if I was a man? #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: Thought that goes through my mind on a regular basis: would you have said that to me if I was a man? #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: Thought that goes through my mind on a regular basis: would you have said that to me if I was a man? #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: Thought that goes through my mind on a regular basis: would you have said that to me if I was a man? #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: Thought that goes through my mind on a regular basis: would you have said that to me if I was a man? #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: Thought that goes through my mind on a regular basis: would you have said that to me if I was a man? #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: Thought that goes through my mind on a regular basis: would you have said that to me if I was a man? #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: Thought that goes through my mind on a regular basis: would you have said that to me if I was a man? #SemST \n Stance towards the target Feminist Movement: Lets think about this step by step.",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
@realDonaldTrump not good when only @AnnCoulter defends you. Your big mouth & giant ego are your downfall #stupidisasstupiddoes #SemST
|
Hillary Clinton
|
against
|
2. The tweet does NOT expresses opinion about the target but it HAS opinion about something or someone other than 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: @realDonaldTrump not good when only @AnnCoulter defends you. Your big mouth & giant ego are your downfall #stupidisasstupiddoes #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: @realDonaldTrump not good when only @AnnCoulter defends you. Your big mouth & giant ego are your downfall #stupidisasstupiddoes #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: @realDonaldTrump not good when only @AnnCoulter defends you. Your big mouth & giant ego are your downfall #stupidisasstupiddoes #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: @realDonaldTrump not good when only @AnnCoulter defends you. Your big mouth & giant ego are your downfall #stupidisasstupiddoes #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: @realDonaldTrump not good when only @AnnCoulter defends you. Your big mouth & giant ego are your downfall #stupidisasstupiddoes #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: @realDonaldTrump not good when only @AnnCoulter defends you. Your big mouth & giant ego are your downfall #stupidisasstupiddoes #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: @realDonaldTrump not good when only @AnnCoulter defends you. Your big mouth & giant ego are your downfall #stupidisasstupiddoes #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: @realDonaldTrump not good when only @AnnCoulter defends you. Your big mouth & giant ego are your downfall #stupidisasstupiddoes #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: @realDonaldTrump not good when only @AnnCoulter defends you. Your big mouth & giant ego are your downfall #stupidisasstupiddoes #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: @realDonaldTrump not good when only @AnnCoulter defends you. Your big mouth & giant ego are your downfall #stupidisasstupiddoes #SemST \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
Ali Al Amin #Lebanon Shia' it Leader: from 70s we rejected #Iran regime's conduct W #SemST
|
Atheism
|
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: Ali Al Amin #Lebanon Shia' it Leader: from 70s we rejected #Iran regime's conduct W #SemST
Stance towards the target Atheism: 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: Ali Al Amin #Lebanon Shia' it Leader: from 70s we rejected #Iran regime's conduct W #SemST \n Stance towards the target Atheism:",
"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: Ali Al Amin #Lebanon Shia' it Leader: from 70s we rejected #Iran regime's conduct W #SemST
Stance towards the target Atheism: 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: Ali Al Amin #Lebanon Shia' it Leader: from 70s we rejected #Iran regime's conduct W #SemST \n Stance towards the target Atheism:",
"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: Ali Al Amin #Lebanon Shia' it Leader: from 70s we rejected #Iran regime's conduct W #SemST
Stance towards the target Atheism: 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: Ali Al Amin #Lebanon Shia' it Leader: from 70s we rejected #Iran regime's conduct W #SemST \n Stance towards the target Atheism:",
"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: Ali Al Amin #Lebanon Shia' it Leader: from 70s we rejected #Iran regime's conduct W #SemST
Stance towards the target Atheism: 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: Ali Al Amin #Lebanon Shia' it Leader: from 70s we rejected #Iran regime's conduct W #SemST \n Stance towards the target Atheism:",
"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: Ali Al Amin #Lebanon Shia' it Leader: from 70s we rejected #Iran regime's conduct W #SemST
Stance towards the target Atheism: 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: Ali Al Amin #Lebanon Shia' it Leader: from 70s we rejected #Iran regime's conduct W #SemST \n Stance towards the target Atheism: Lets think about this step by step.",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
@HeyItsAlexM @Keatmyshiz hes lyin to u maam, u can see thru this transparent asshat. just call him a moron u no u wanna do it #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: @HeyItsAlexM @Keatmyshiz hes lyin to u maam, u can see thru this transparent asshat. just call him a moron u no u wanna do it #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: @HeyItsAlexM @Keatmyshiz hes lyin to u maam, u can see thru this transparent asshat. just call him a moron u no u wanna do it #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: @HeyItsAlexM @Keatmyshiz hes lyin to u maam, u can see thru this transparent asshat. just call him a moron u no u wanna do it #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: @HeyItsAlexM @Keatmyshiz hes lyin to u maam, u can see thru this transparent asshat. just call him a moron u no u wanna do it #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: @HeyItsAlexM @Keatmyshiz hes lyin to u maam, u can see thru this transparent asshat. just call him a moron u no u wanna do it #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: @HeyItsAlexM @Keatmyshiz hes lyin to u maam, u can see thru this transparent asshat. just call him a moron u no u wanna do it #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: @HeyItsAlexM @Keatmyshiz hes lyin to u maam, u can see thru this transparent asshat. just call him a moron u no u wanna do it #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: @HeyItsAlexM @Keatmyshiz hes lyin to u maam, u can see thru this transparent asshat. just call him a moron u no u wanna do it #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: @HeyItsAlexM @Keatmyshiz hes lyin to u maam, u can see thru this transparent asshat. just call him a moron u no u wanna do it #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: @HeyItsAlexM @Keatmyshiz hes lyin to u maam, u can see thru this transparent asshat. just call him a moron u no u wanna do it #SemST \n Stance towards the target Feminist Movement: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
@CoachDLG515 @Retired36 I'm glad that you will now slice all round. #SemST
|
Hillary Clinton
|
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: @CoachDLG515 @Retired36 I'm glad that you will now slice all round. #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: @CoachDLG515 @Retired36 I'm glad that you will now slice all round. #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: @CoachDLG515 @Retired36 I'm glad that you will now slice all round. #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: @CoachDLG515 @Retired36 I'm glad that you will now slice all round. #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: @CoachDLG515 @Retired36 I'm glad that you will now slice all round. #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: @CoachDLG515 @Retired36 I'm glad that you will now slice all round. #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: @CoachDLG515 @Retired36 I'm glad that you will now slice all round. #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: @CoachDLG515 @Retired36 I'm glad that you will now slice all round. #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: @CoachDLG515 @Retired36 I'm glad that you will now slice all round. #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: @CoachDLG515 @Retired36 I'm glad that you will now slice all round. #SemST \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
The owner of Univisin, donated as much as $25 million to the Clinton Foundation, his wife sits on its board #Univision #Trump #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: The owner of Univisin, donated as much as $25 million to the Clinton Foundation, his wife sits on its board #Univision #Trump #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: The owner of Univisin, donated as much as $25 million to the Clinton Foundation, his wife sits on its board #Univision #Trump #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: The owner of Univisin, donated as much as $25 million to the Clinton Foundation, his wife sits on its board #Univision #Trump #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: The owner of Univisin, donated as much as $25 million to the Clinton Foundation, his wife sits on its board #Univision #Trump #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: The owner of Univisin, donated as much as $25 million to the Clinton Foundation, his wife sits on its board #Univision #Trump #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: The owner of Univisin, donated as much as $25 million to the Clinton Foundation, his wife sits on its board #Univision #Trump #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: The owner of Univisin, donated as much as $25 million to the Clinton Foundation, his wife sits on its board #Univision #Trump #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: The owner of Univisin, donated as much as $25 million to the Clinton Foundation, his wife sits on its board #Univision #Trump #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: The owner of Univisin, donated as much as $25 million to the Clinton Foundation, his wife sits on its board #Univision #Trump #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: The owner of Univisin, donated as much as $25 million to the Clinton Foundation, his wife sits on its board #Univision #Trump #SemST \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
Jesus loves the children of the world, the born and the unborn.Youth #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.
|
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: Jesus loves the children of the world, the born and the unborn.Youth #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: Jesus loves the children of the world, the born and the unborn.Youth #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: Jesus loves the children of the world, the born and the unborn.Youth #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: Jesus loves the children of the world, the born and the unborn.Youth #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: Jesus loves the children of the world, the born and the unborn.Youth #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: Jesus loves the children of the world, the born and the unborn.Youth #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: Jesus loves the children of the world, the born and the unborn.Youth #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: Jesus loves the children of the world, the born and the unborn.Youth #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: Jesus loves the children of the world, the born and the unborn.Youth #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: Jesus loves the children of the world, the born and the unborn.Youth #SemST \n Stance towards the target Legalization of Abortion: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
#SingleBecause I refuse to be man's 'other' and bcs I want to be my full self, bcs I want a feminist man, who's a man's man. #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: #SingleBecause I refuse to be man's 'other' and bcs I want to be my full self, bcs I want a feminist man, who's a man's man. #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: #SingleBecause I refuse to be man's 'other' and bcs I want to be my full self, bcs I want a feminist man, who's a man's man. #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: #SingleBecause I refuse to be man's 'other' and bcs I want to be my full self, bcs I want a feminist man, who's a man's man. #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: #SingleBecause I refuse to be man's 'other' and bcs I want to be my full self, bcs I want a feminist man, who's a man's man. #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: #SingleBecause I refuse to be man's 'other' and bcs I want to be my full self, bcs I want a feminist man, who's a man's man. #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: #SingleBecause I refuse to be man's 'other' and bcs I want to be my full self, bcs I want a feminist man, who's a man's man. #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: #SingleBecause I refuse to be man's 'other' and bcs I want to be my full self, bcs I want a feminist man, who's a man's man. #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: #SingleBecause I refuse to be man's 'other' and bcs I want to be my full self, bcs I want a feminist man, who's a man's man. #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: #SingleBecause I refuse to be man's 'other' and bcs I want to be my full self, bcs I want a feminist man, who's a man's man. #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: #SingleBecause I refuse to be man's 'other' and bcs I want to be my full self, bcs I want a feminist man, who's a man's man. #SemST \n Stance towards the target Feminist Movement: Lets think about this step by step.",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
We're out here in G-town, and where are you #sctweets #SemST
|
Hillary Clinton
|
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: We're out here in G-town, and where are you #sctweets #SemST
Stance towards the target Hillary Clinton: 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: We're out here in G-town, and where are you #sctweets #SemST \n Stance towards the target Hillary Clinton:",
"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: We're out here in G-town, and where are you #sctweets #SemST
Stance towards the target Hillary Clinton: 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: We're out here in G-town, and where are you #sctweets #SemST \n Stance towards the target Hillary Clinton:",
"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: We're out here in G-town, and where are you #sctweets #SemST
Stance towards the target Hillary Clinton: 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: We're out here in G-town, and where are you #sctweets #SemST \n Stance towards the target Hillary Clinton:",
"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: We're out here in G-town, and where are you #sctweets #SemST
Stance towards the target Hillary Clinton: 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: We're out here in G-town, and where are you #sctweets #SemST \n Stance towards the target Hillary Clinton:",
"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: We're out here in G-town, and where are you #sctweets #SemST
Stance towards the target Hillary Clinton: 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: We're out here in G-town, and where are you #sctweets #SemST \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
Global Warming! Global Warming! Global Warming! Oh wait, it's summer. #SemST
|
Climate Change is a Real Concern
|
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: Global Warming! Global Warming! Global Warming! Oh wait, it's summer. #SemST
Stance towards the target Climate Change is a Real Concern: 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: Global Warming! Global Warming! Global Warming! Oh wait, it's summer. #SemST \n Stance towards the target Climate Change is a Real Concern:",
"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: Global Warming! Global Warming! Global Warming! Oh wait, it's summer. #SemST
Stance towards the target Climate Change is a Real Concern: 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: Global Warming! Global Warming! Global Warming! Oh wait, it's summer. #SemST \n Stance towards the target Climate Change is a Real Concern:",
"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: Global Warming! Global Warming! Global Warming! Oh wait, it's summer. #SemST
Stance towards the target Climate Change is a Real Concern: 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: Global Warming! Global Warming! Global Warming! Oh wait, it's summer. #SemST \n Stance towards the target Climate Change is a Real Concern:",
"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: Global Warming! Global Warming! Global Warming! Oh wait, it's summer. #SemST
Stance towards the target Climate Change is a Real Concern: 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: Global Warming! Global Warming! Global Warming! Oh wait, it's summer. #SemST \n Stance towards the target Climate Change is a Real Concern:",
"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: Global Warming! Global Warming! Global Warming! Oh wait, it's summer. #SemST
Stance towards the target Climate Change is a Real Concern: 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: Global Warming! Global Warming! Global Warming! Oh wait, it's summer. #SemST \n Stance towards the target Climate Change is a Real Concern: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
@SkyNews @EamonnHolmes @SkyJacquie guy from 'beach body ready' advert being interviewed.Conclusion=arrogant male chauvinist idiot #SemST
|
Feminist Movement
|
support
|
2. The tweet does NOT expresses opinion about the target but it HAS opinion about something or someone other than 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: @SkyNews @EamonnHolmes @SkyJacquie guy from 'beach body ready' advert being interviewed.Conclusion=arrogant male chauvinist idiot #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: @SkyNews @EamonnHolmes @SkyJacquie guy from 'beach body ready' advert being interviewed.Conclusion=arrogant male chauvinist idiot #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: @SkyNews @EamonnHolmes @SkyJacquie guy from 'beach body ready' advert being interviewed.Conclusion=arrogant male chauvinist idiot #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: @SkyNews @EamonnHolmes @SkyJacquie guy from 'beach body ready' advert being interviewed.Conclusion=arrogant male chauvinist idiot #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: @SkyNews @EamonnHolmes @SkyJacquie guy from 'beach body ready' advert being interviewed.Conclusion=arrogant male chauvinist idiot #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: @SkyNews @EamonnHolmes @SkyJacquie guy from 'beach body ready' advert being interviewed.Conclusion=arrogant male chauvinist idiot #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: @SkyNews @EamonnHolmes @SkyJacquie guy from 'beach body ready' advert being interviewed.Conclusion=arrogant male chauvinist idiot #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: @SkyNews @EamonnHolmes @SkyJacquie guy from 'beach body ready' advert being interviewed.Conclusion=arrogant male chauvinist idiot #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: @SkyNews @EamonnHolmes @SkyJacquie guy from 'beach body ready' advert being interviewed.Conclusion=arrogant male chauvinist idiot #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: @SkyNews @EamonnHolmes @SkyJacquie guy from 'beach body ready' advert being interviewed.Conclusion=arrogant male chauvinist idiot #SemST \n Stance towards the target Feminist Movement: Lets think about this step by step.",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
@MI_IMMACULATA @GLORYtoGOD_143 @BenignoVito Very important to #PrayTheRosary to #PrayforthePersecutedChurch & to #SemST
|
Legalization of Abortion
|
against
|
2. The tweet does NOT expresses opinion about the target but it HAS opinion about something or someone other than 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: @MI_IMMACULATA @GLORYtoGOD_143 @BenignoVito Very important to #PrayTheRosary to #PrayforthePersecutedChurch & to #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: @MI_IMMACULATA @GLORYtoGOD_143 @BenignoVito Very important to #PrayTheRosary to #PrayforthePersecutedChurch & to #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: @MI_IMMACULATA @GLORYtoGOD_143 @BenignoVito Very important to #PrayTheRosary to #PrayforthePersecutedChurch & to #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: @MI_IMMACULATA @GLORYtoGOD_143 @BenignoVito Very important to #PrayTheRosary to #PrayforthePersecutedChurch & to #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: @MI_IMMACULATA @GLORYtoGOD_143 @BenignoVito Very important to #PrayTheRosary to #PrayforthePersecutedChurch & to #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: @MI_IMMACULATA @GLORYtoGOD_143 @BenignoVito Very important to #PrayTheRosary to #PrayforthePersecutedChurch & to #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: @MI_IMMACULATA @GLORYtoGOD_143 @BenignoVito Very important to #PrayTheRosary to #PrayforthePersecutedChurch & to #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: @MI_IMMACULATA @GLORYtoGOD_143 @BenignoVito Very important to #PrayTheRosary to #PrayforthePersecutedChurch & to #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: @MI_IMMACULATA @GLORYtoGOD_143 @BenignoVito Very important to #PrayTheRosary to #PrayforthePersecutedChurch & to #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: @MI_IMMACULATA @GLORYtoGOD_143 @BenignoVito Very important to #PrayTheRosary to #PrayforthePersecutedChurch & to #SemST \n Stance towards the target Legalization of Abortion: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
RT @SMARFreedom: #Pray for orphans in #NorthKorea,who over the years found themselves homeless.#TeamJesusTweeters #SemST
|
Atheism
|
against
|
2. The tweet does NOT expresses opinion about the target but it HAS opinion about something or someone other than 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: RT @SMARFreedom: #Pray for orphans in #NorthKorea,who over the years found themselves homeless.#TeamJesusTweeters #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: RT @SMARFreedom: #Pray for orphans in #NorthKorea,who over the years found themselves homeless.#TeamJesusTweeters #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: RT @SMARFreedom: #Pray for orphans in #NorthKorea,who over the years found themselves homeless.#TeamJesusTweeters #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: RT @SMARFreedom: #Pray for orphans in #NorthKorea,who over the years found themselves homeless.#TeamJesusTweeters #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: RT @SMARFreedom: #Pray for orphans in #NorthKorea,who over the years found themselves homeless.#TeamJesusTweeters #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: RT @SMARFreedom: #Pray for orphans in #NorthKorea,who over the years found themselves homeless.#TeamJesusTweeters #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: RT @SMARFreedom: #Pray for orphans in #NorthKorea,who over the years found themselves homeless.#TeamJesusTweeters #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: RT @SMARFreedom: #Pray for orphans in #NorthKorea,who over the years found themselves homeless.#TeamJesusTweeters #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: RT @SMARFreedom: #Pray for orphans in #NorthKorea,who over the years found themselves homeless.#TeamJesusTweeters #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: RT @SMARFreedom: #Pray for orphans in #NorthKorea,who over the years found themselves homeless.#TeamJesusTweeters #SemST \n Stance towards the target Atheism: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
@RandPaul @HillaryClinton you could never dream to be as intelligent as she is #SemST
|
Hillary Clinton
|
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: @RandPaul @HillaryClinton you could never dream to be as intelligent as she is #SemST
Stance towards the target Hillary Clinton: 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: @RandPaul @HillaryClinton you could never dream to be as intelligent as she is #SemST \n Stance towards the target Hillary Clinton:",
"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: @RandPaul @HillaryClinton you could never dream to be as intelligent as she is #SemST
Stance towards the target Hillary Clinton: 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: @RandPaul @HillaryClinton you could never dream to be as intelligent as she is #SemST \n Stance towards the target Hillary Clinton:",
"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: @RandPaul @HillaryClinton you could never dream to be as intelligent as she is #SemST
Stance towards the target Hillary Clinton: 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: @RandPaul @HillaryClinton you could never dream to be as intelligent as she is #SemST \n Stance towards the target Hillary Clinton:",
"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: @RandPaul @HillaryClinton you could never dream to be as intelligent as she is #SemST
Stance towards the target Hillary Clinton: 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: @RandPaul @HillaryClinton you could never dream to be as intelligent as she is #SemST \n Stance towards the target Hillary Clinton:",
"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: @RandPaul @HillaryClinton you could never dream to be as intelligent as she is #SemST
Stance towards the target Hillary Clinton: 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: @RandPaul @HillaryClinton you could never dream to be as intelligent as she is #SemST \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
because it is settled that [abortion] is constitutional, it necessarily follows that there must be a means of carrying it out. #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.
|
other
|
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: because it is settled that [abortion] is constitutional, it necessarily follows that there must be a means of carrying it out. #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: because it is settled that [abortion] is constitutional, it necessarily follows that there must be a means of carrying it out. #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: because it is settled that [abortion] is constitutional, it necessarily follows that there must be a means of carrying it out. #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: because it is settled that [abortion] is constitutional, it necessarily follows that there must be a means of carrying it out. #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: because it is settled that [abortion] is constitutional, it necessarily follows that there must be a means of carrying it out. #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: because it is settled that [abortion] is constitutional, it necessarily follows that there must be a means of carrying it out. #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: because it is settled that [abortion] is constitutional, it necessarily follows that there must be a means of carrying it out. #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: because it is settled that [abortion] is constitutional, it necessarily follows that there must be a means of carrying it out. #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: because it is settled that [abortion] is constitutional, it necessarily follows that there must be a means of carrying it out. #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: because it is settled that [abortion] is constitutional, it necessarily follows that there must be a means of carrying it out. #SemST \n Stance towards the target Legalization of Abortion: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
We need integrated #science with #indigenous knowledge to understand & adapt to #CFCC15 #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: We need integrated #science with #indigenous knowledge to understand & adapt to #CFCC15 #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: We need integrated #science with #indigenous knowledge to understand & adapt to #CFCC15 #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: We need integrated #science with #indigenous knowledge to understand & adapt to #CFCC15 #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: We need integrated #science with #indigenous knowledge to understand & adapt to #CFCC15 #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: We need integrated #science with #indigenous knowledge to understand & adapt to #CFCC15 #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: We need integrated #science with #indigenous knowledge to understand & adapt to #CFCC15 #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: We need integrated #science with #indigenous knowledge to understand & adapt to #CFCC15 #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: We need integrated #science with #indigenous knowledge to understand & adapt to #CFCC15 #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: We need integrated #science with #indigenous knowledge to understand & adapt to #CFCC15 #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: We need integrated #science with #indigenous knowledge to understand & adapt to #CFCC15 #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"
}
] |
#Obama administration lies again.. Knew of #HillaryEmails being private.. transparency???? #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: #Obama administration lies again.. Knew of #HillaryEmails being private.. transparency???? #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: #Obama administration lies again.. Knew of #HillaryEmails being private.. transparency???? #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: #Obama administration lies again.. Knew of #HillaryEmails being private.. transparency???? #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: #Obama administration lies again.. Knew of #HillaryEmails being private.. transparency???? #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: #Obama administration lies again.. Knew of #HillaryEmails being private.. transparency???? #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: #Obama administration lies again.. Knew of #HillaryEmails being private.. transparency???? #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: #Obama administration lies again.. Knew of #HillaryEmails being private.. transparency???? #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: #Obama administration lies again.. Knew of #HillaryEmails being private.. transparency???? #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: #Obama administration lies again.. Knew of #HillaryEmails being private.. transparency???? #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: #Obama administration lies again.. Knew of #HillaryEmails being private.. transparency???? #SemST \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
When did people without taste buds decide to ban tasty food? Welcome to Sex-Negative Feminism #GamerGate #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: When did people without taste buds decide to ban tasty food? Welcome to Sex-Negative Feminism #GamerGate #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: When did people without taste buds decide to ban tasty food? Welcome to Sex-Negative Feminism #GamerGate #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: When did people without taste buds decide to ban tasty food? Welcome to Sex-Negative Feminism #GamerGate #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: When did people without taste buds decide to ban tasty food? Welcome to Sex-Negative Feminism #GamerGate #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: When did people without taste buds decide to ban tasty food? Welcome to Sex-Negative Feminism #GamerGate #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: When did people without taste buds decide to ban tasty food? Welcome to Sex-Negative Feminism #GamerGate #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: When did people without taste buds decide to ban tasty food? Welcome to Sex-Negative Feminism #GamerGate #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: When did people without taste buds decide to ban tasty food? Welcome to Sex-Negative Feminism #GamerGate #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: When did people without taste buds decide to ban tasty food? Welcome to Sex-Negative Feminism #GamerGate #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: When did people without taste buds decide to ban tasty food? Welcome to Sex-Negative Feminism #GamerGate #SemST \n Stance towards the target Feminist Movement: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
#SignsYoureInTheUSA Doc can pull baby 3/4 way out of the womb, stick a knife in its head 2 kill the child & @SCOTUS says its OK #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: #SignsYoureInTheUSA Doc can pull baby 3/4 way out of the womb, stick a knife in its head 2 kill the child & @SCOTUS says its OK #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: #SignsYoureInTheUSA Doc can pull baby 3/4 way out of the womb, stick a knife in its head 2 kill the child & @SCOTUS says its OK #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: #SignsYoureInTheUSA Doc can pull baby 3/4 way out of the womb, stick a knife in its head 2 kill the child & @SCOTUS says its OK #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: #SignsYoureInTheUSA Doc can pull baby 3/4 way out of the womb, stick a knife in its head 2 kill the child & @SCOTUS says its OK #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: #SignsYoureInTheUSA Doc can pull baby 3/4 way out of the womb, stick a knife in its head 2 kill the child & @SCOTUS says its OK #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: #SignsYoureInTheUSA Doc can pull baby 3/4 way out of the womb, stick a knife in its head 2 kill the child & @SCOTUS says its OK #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: #SignsYoureInTheUSA Doc can pull baby 3/4 way out of the womb, stick a knife in its head 2 kill the child & @SCOTUS says its OK #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: #SignsYoureInTheUSA Doc can pull baby 3/4 way out of the womb, stick a knife in its head 2 kill the child & @SCOTUS says its OK #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: #SignsYoureInTheUSA Doc can pull baby 3/4 way out of the womb, stick a knife in its head 2 kill the child & @SCOTUS says its OK #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: #SignsYoureInTheUSA Doc can pull baby 3/4 way out of the womb, stick a knife in its head 2 kill the child & @SCOTUS says its OK #SemST \n Stance towards the target Legalization of Abortion: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
Before any African American goes to church, they should realize that their make believe god supported their slavery. #SemST
|
Atheism
|
support
|
2. The tweet does NOT expresses opinion about the target but it HAS opinion about something or someone other than 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: Before any African American goes to church, they should realize that their make believe god supported their slavery. #SemST
Stance towards the target Atheism: 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: Before any African American goes to church, they should realize that their make believe god supported their slavery. #SemST \n Stance towards the target Atheism:",
"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: Before any African American goes to church, they should realize that their make believe god supported their slavery. #SemST
Stance towards the target Atheism: 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: Before any African American goes to church, they should realize that their make believe god supported their slavery. #SemST \n Stance towards the target Atheism:",
"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: Before any African American goes to church, they should realize that their make believe god supported their slavery. #SemST
Stance towards the target Atheism: 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: Before any African American goes to church, they should realize that their make believe god supported their slavery. #SemST \n Stance towards the target Atheism:",
"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: Before any African American goes to church, they should realize that their make believe god supported their slavery. #SemST
Stance towards the target Atheism: 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: Before any African American goes to church, they should realize that their make believe god supported their slavery. #SemST \n Stance towards the target Atheism:",
"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: Before any African American goes to church, they should realize that their make believe god supported their slavery. #SemST
Stance towards the target Atheism: 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: Before any African American goes to church, they should realize that their make believe god supported their slavery. #SemST \n Stance towards the target Atheism: Lets think about this step by step.",
"role": "user"
},
{
"content": "support",
"role": "assistant"
}
] |
@Aman_Pasha Higher sea levels & temperature, glacial retreat, warmer oceans, extreme weather events. Plenty of evidence. #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: @Aman_Pasha Higher sea levels & temperature, glacial retreat, warmer oceans, extreme weather events. Plenty of evidence. #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: @Aman_Pasha Higher sea levels & temperature, glacial retreat, warmer oceans, extreme weather events. Plenty of evidence. #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: @Aman_Pasha Higher sea levels & temperature, glacial retreat, warmer oceans, extreme weather events. Plenty of evidence. #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: @Aman_Pasha Higher sea levels & temperature, glacial retreat, warmer oceans, extreme weather events. Plenty of evidence. #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: @Aman_Pasha Higher sea levels & temperature, glacial retreat, warmer oceans, extreme weather events. Plenty of evidence. #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: @Aman_Pasha Higher sea levels & temperature, glacial retreat, warmer oceans, extreme weather events. Plenty of evidence. #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: @Aman_Pasha Higher sea levels & temperature, glacial retreat, warmer oceans, extreme weather events. Plenty of evidence. #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: @Aman_Pasha Higher sea levels & temperature, glacial retreat, warmer oceans, extreme weather events. Plenty of evidence. #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: @Aman_Pasha Higher sea levels & temperature, glacial retreat, warmer oceans, extreme weather events. Plenty of evidence. #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: @Aman_Pasha Higher sea levels & temperature, glacial retreat, warmer oceans, extreme weather events. Plenty of evidence. #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"
}
] |
@SenatorLankford just a reminder that you are awful in every way and do not represent me. #prolove #proeducation #prohealthcare #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: @SenatorLankford just a reminder that you are awful in every way and do not represent me. #prolove #proeducation #prohealthcare #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: @SenatorLankford just a reminder that you are awful in every way and do not represent me. #prolove #proeducation #prohealthcare #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: @SenatorLankford just a reminder that you are awful in every way and do not represent me. #prolove #proeducation #prohealthcare #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: @SenatorLankford just a reminder that you are awful in every way and do not represent me. #prolove #proeducation #prohealthcare #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: @SenatorLankford just a reminder that you are awful in every way and do not represent me. #prolove #proeducation #prohealthcare #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: @SenatorLankford just a reminder that you are awful in every way and do not represent me. #prolove #proeducation #prohealthcare #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: @SenatorLankford just a reminder that you are awful in every way and do not represent me. #prolove #proeducation #prohealthcare #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: @SenatorLankford just a reminder that you are awful in every way and do not represent me. #prolove #proeducation #prohealthcare #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: @SenatorLankford just a reminder that you are awful in every way and do not represent me. #prolove #proeducation #prohealthcare #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: @SenatorLankford just a reminder that you are awful in every way and do not represent me. #prolove #proeducation #prohealthcare #SemST \n Stance towards the target Legalization of Abortion: Lets think about this step by step.",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
#Mission:#Climate @ home > Pass your magazines on to a friend, hospital, library, or nursing home. (by @gaiam) #Tip #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 @ home > Pass your magazines on to a friend, hospital, library, or nursing home. (by @gaiam) #Tip #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 @ home > Pass your magazines on to a friend, hospital, library, or nursing home. (by @gaiam) #Tip #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 @ home > Pass your magazines on to a friend, hospital, library, or nursing home. (by @gaiam) #Tip #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 @ home > Pass your magazines on to a friend, hospital, library, or nursing home. (by @gaiam) #Tip #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 @ home > Pass your magazines on to a friend, hospital, library, or nursing home. (by @gaiam) #Tip #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 @ home > Pass your magazines on to a friend, hospital, library, or nursing home. (by @gaiam) #Tip #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 @ home > Pass your magazines on to a friend, hospital, library, or nursing home. (by @gaiam) #Tip #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 @ home > Pass your magazines on to a friend, hospital, library, or nursing home. (by @gaiam) #Tip #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 @ home > Pass your magazines on to a friend, hospital, library, or nursing home. (by @gaiam) #Tip #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 @ home > Pass your magazines on to a friend, hospital, library, or nursing home. (by @gaiam) #Tip #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"
}
] |
Abortion IS NOT a political issue it is a MORAL issue. #Catholic #Christian #Conservative #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: Abortion IS NOT a political issue it is a MORAL issue. #Catholic #Christian #Conservative #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: Abortion IS NOT a political issue it is a MORAL issue. #Catholic #Christian #Conservative #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: Abortion IS NOT a political issue it is a MORAL issue. #Catholic #Christian #Conservative #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: Abortion IS NOT a political issue it is a MORAL issue. #Catholic #Christian #Conservative #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: Abortion IS NOT a political issue it is a MORAL issue. #Catholic #Christian #Conservative #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: Abortion IS NOT a political issue it is a MORAL issue. #Catholic #Christian #Conservative #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: Abortion IS NOT a political issue it is a MORAL issue. #Catholic #Christian #Conservative #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: Abortion IS NOT a political issue it is a MORAL issue. #Catholic #Christian #Conservative #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: Abortion IS NOT a political issue it is a MORAL issue. #Catholic #Christian #Conservative #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: Abortion IS NOT a political issue it is a MORAL issue. #Catholic #Christian #Conservative #SemST \n Stance towards the target Legalization of Abortion: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
over the river and through the woods, and UP WITH HILL WE GO! Yass #HillaryClinton #Hillary #SemST
|
Hillary Clinton
|
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: over the river and through the woods, and UP WITH HILL WE GO! Yass #HillaryClinton #Hillary #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: over the river and through the woods, and UP WITH HILL WE GO! Yass #HillaryClinton #Hillary #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: over the river and through the woods, and UP WITH HILL WE GO! Yass #HillaryClinton #Hillary #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: over the river and through the woods, and UP WITH HILL WE GO! Yass #HillaryClinton #Hillary #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: over the river and through the woods, and UP WITH HILL WE GO! Yass #HillaryClinton #Hillary #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: over the river and through the woods, and UP WITH HILL WE GO! Yass #HillaryClinton #Hillary #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: over the river and through the woods, and UP WITH HILL WE GO! Yass #HillaryClinton #Hillary #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: over the river and through the woods, and UP WITH HILL WE GO! Yass #HillaryClinton #Hillary #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: over the river and through the woods, and UP WITH HILL WE GO! Yass #HillaryClinton #Hillary #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: over the river and through the woods, and UP WITH HILL WE GO! Yass #HillaryClinton #Hillary #SemST \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
Not to worry, sediment cores prove shellfish & coral will recover in just 160,000 years. #oilandgas #rbe #tvp #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: Not to worry, sediment cores prove shellfish & coral will recover in just 160,000 years. #oilandgas #rbe #tvp #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: Not to worry, sediment cores prove shellfish & coral will recover in just 160,000 years. #oilandgas #rbe #tvp #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: Not to worry, sediment cores prove shellfish & coral will recover in just 160,000 years. #oilandgas #rbe #tvp #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: Not to worry, sediment cores prove shellfish & coral will recover in just 160,000 years. #oilandgas #rbe #tvp #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: Not to worry, sediment cores prove shellfish & coral will recover in just 160,000 years. #oilandgas #rbe #tvp #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: Not to worry, sediment cores prove shellfish & coral will recover in just 160,000 years. #oilandgas #rbe #tvp #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: Not to worry, sediment cores prove shellfish & coral will recover in just 160,000 years. #oilandgas #rbe #tvp #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: Not to worry, sediment cores prove shellfish & coral will recover in just 160,000 years. #oilandgas #rbe #tvp #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: Not to worry, sediment cores prove shellfish & coral will recover in just 160,000 years. #oilandgas #rbe #tvp #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: Not to worry, sediment cores prove shellfish & coral will recover in just 160,000 years. #oilandgas #rbe #tvp #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"
}
] |
@rsiereilly I've been pretty well. Enjoyed your response to #SemST
|
Feminist Movement
|
none
|
3. The tweet is not explicitly expressing opinion. (For example, the tweet is simply giving information.)
|
pos
|
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: @rsiereilly I've been pretty well. Enjoyed your response to #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: @rsiereilly I've been pretty well. Enjoyed your response to #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: @rsiereilly I've been pretty well. Enjoyed your response to #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: @rsiereilly I've been pretty well. Enjoyed your response to #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: @rsiereilly I've been pretty well. Enjoyed your response to #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: @rsiereilly I've been pretty well. Enjoyed your response to #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: @rsiereilly I've been pretty well. Enjoyed your response to #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: @rsiereilly I've been pretty well. Enjoyed your response to #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: @rsiereilly I've been pretty well. Enjoyed your response to #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: @rsiereilly I've been pretty well. Enjoyed your response to #SemST \n Stance towards the target Feminist Movement: Lets think about this step by step.",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
If we don't do anything we will be the sad generation that had the opportunity to act and didn't #CFCC15 #Journey2015 #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: If we don't do anything we will be the sad generation that had the opportunity to act and didn't #CFCC15 #Journey2015 #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: If we don't do anything we will be the sad generation that had the opportunity to act and didn't #CFCC15 #Journey2015 #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: If we don't do anything we will be the sad generation that had the opportunity to act and didn't #CFCC15 #Journey2015 #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: If we don't do anything we will be the sad generation that had the opportunity to act and didn't #CFCC15 #Journey2015 #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: If we don't do anything we will be the sad generation that had the opportunity to act and didn't #CFCC15 #Journey2015 #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: If we don't do anything we will be the sad generation that had the opportunity to act and didn't #CFCC15 #Journey2015 #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: If we don't do anything we will be the sad generation that had the opportunity to act and didn't #CFCC15 #Journey2015 #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: If we don't do anything we will be the sad generation that had the opportunity to act and didn't #CFCC15 #Journey2015 #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: If we don't do anything we will be the sad generation that had the opportunity to act and didn't #CFCC15 #Journey2015 #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: If we don't do anything we will be the sad generation that had the opportunity to act and didn't #CFCC15 #Journey2015 #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"
}
] |
Why do girls/women spend so much time to be pretty and attractive and then complain if they're reduced to a sex symbol? #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: Why do girls/women spend so much time to be pretty and attractive and then complain if they're reduced to a sex symbol? #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: Why do girls/women spend so much time to be pretty and attractive and then complain if they're reduced to a sex symbol? #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: Why do girls/women spend so much time to be pretty and attractive and then complain if they're reduced to a sex symbol? #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: Why do girls/women spend so much time to be pretty and attractive and then complain if they're reduced to a sex symbol? #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: Why do girls/women spend so much time to be pretty and attractive and then complain if they're reduced to a sex symbol? #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: Why do girls/women spend so much time to be pretty and attractive and then complain if they're reduced to a sex symbol? #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: Why do girls/women spend so much time to be pretty and attractive and then complain if they're reduced to a sex symbol? #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: Why do girls/women spend so much time to be pretty and attractive and then complain if they're reduced to a sex symbol? #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: Why do girls/women spend so much time to be pretty and attractive and then complain if they're reduced to a sex symbol? #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: Why do girls/women spend so much time to be pretty and attractive and then complain if they're reduced to a sex symbol? #SemST \n Stance towards the target Feminist Movement: Lets think about this step by step.",
"role": "user"
},
{
"content": "against",
"role": "assistant"
}
] |
@larryelder The more Republicans talk about social policy the better....for #SemST
|
Hillary Clinton
|
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: @larryelder The more Republicans talk about social policy the better....for #SemST
Stance towards the target Hillary Clinton: 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: @larryelder The more Republicans talk about social policy the better....for #SemST \n Stance towards the target Hillary Clinton:",
"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: @larryelder The more Republicans talk about social policy the better....for #SemST
Stance towards the target Hillary Clinton: 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: @larryelder The more Republicans talk about social policy the better....for #SemST \n Stance towards the target Hillary Clinton:",
"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: @larryelder The more Republicans talk about social policy the better....for #SemST
Stance towards the target Hillary Clinton: 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: @larryelder The more Republicans talk about social policy the better....for #SemST \n Stance towards the target Hillary Clinton:",
"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: @larryelder The more Republicans talk about social policy the better....for #SemST
Stance towards the target Hillary Clinton: 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: @larryelder The more Republicans talk about social policy the better....for #SemST \n Stance towards the target Hillary Clinton:",
"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: @larryelder The more Republicans talk about social policy the better....for #SemST
Stance towards the target Hillary Clinton: 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: @larryelder The more Republicans talk about social policy the better....for #SemST \n Stance towards the target Hillary Clinton: Lets think about this step by step.",
"role": "user"
},
{
"content": "none",
"role": "assistant"
}
] |
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