Dataset Viewer
Unnamed: 0
int64 | seq.1.length.main.vote_2024..
int64 | main.byo_best_words
string | main.byo_worst_words
string | main.vote_2024
string | main.age_group
string | main.CountyName
string | main.be_0
string | main.be_l30
float64 | main.edu_group
string | main.buildingFloors
int64 | main.urban
string | main.homeownership_2
int64 | messages
list | classification
string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1
| 1
|
It needs to have law enforcement in code.
| null |
Donald Trump
|
30 to 49
|
Miami-Dade County
|
Somewhat support
| 0.75
|
4 yr college degree
| 12
|
City
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"It needs to have law enforcement in code.\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
2
| 2
| null | null |
Kamala Harris
|
18 to 29
|
Norfolk County
|
Somewhat support
| 0.75
|
4 yr college degree
| 40
|
City
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
3
| 3
| null | null |
Kamala Harris
|
30 to 49
|
Sacramento County
|
Neither support nor oppose
| 0.5
|
4 yr college degree
| 4
|
City
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Neutral
|
4
| 4
| null | null |
Donald Trump
|
30 to 49
|
Cobb County
|
Strongly oppose
| 0.5
|
Some college or 2 year college
| 8
|
Suburb
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
5
| 5
| null | null |
Kamala Harris
|
18 to 29
|
Rockland County
|
Somewhat support
| 1
|
Grad/Prof degree
| 8
|
Suburb
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Unknown
|
6
| 6
| null | null |
Kamala Harris
|
18 to 29
|
King County
|
Somewhat support
| 0
|
Grad/Prof degree
| 8
|
City
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
7
| 7
|
I would oppose the development
|
I would oppose the development
|
Donald Trump
|
30 to 49
|
Davis County
|
Strongly oppose
| 0
|
Grad/Prof degree
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"I would oppose the development\"\nmain.byo_worst_words: \"I would oppose the development\"\n ",
"role": "user"
}
] |
Negative
|
8
| 8
| null | null |
Donald Trump
|
30 to 49
|
Fairfax County
|
Somewhat oppose
| 0.25
|
4 yr college degree
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
9
| 9
|
I would probably advocate for affordable housing for lower income people, as that's where most people lie in terms of status.
| null |
Kamala Harris
|
18 to 29
|
Alameda County
|
Strongly oppose
| 1
|
4 yr college degree
| 8
|
Suburb
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"I would probably advocate for affordable housing for lower income people, as that's where most people lie in terms of status.\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
10
| 10
| null | null |
Kamala Harris
|
30 to 49
|
Allegheny County
|
Strongly oppose
| 0.75
|
4 yr college degree
| 8
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
11
| 11
|
Make it affordable to many people
|
Make it affordable
|
Kamala Harris
|
50+
|
Palm Beach County
|
Somewhat oppose
| 0.25
|
Some college or 2 year college
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"Make it affordable to many people\"\nmain.byo_worst_words: \"Make it affordable\"\n ",
"role": "user"
}
] |
Negative
|
12
| 12
| null | null |
Donald Trump
|
18 to 29
|
Bronx County
|
Strongly oppose
| 1
|
LTHS or HS grad
| 40
|
City
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
13
| 13
| null | null |
Donald Trump
|
30 to 49
|
Orange County
|
Strongly oppose
| 0.75
|
4 yr college degree
| 4
|
Suburb
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
14
| 14
| null | null |
Kamala Harris
|
18 to 29
|
Prince George's County
|
Strongly oppose
| 0.25
|
Some college or 2 year college
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
15
| 15
| null |
Unsure
|
Donald Trump
|
50+
|
Middlesex County
|
Somewhat oppose
| 0.5
|
LTHS or HS grad
| 4
|
Town
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"Unsure\"\n ",
"role": "user"
}
] |
Negative
|
16
| 16
| null | null |
Kamala Harris
|
30 to 49
|
Franklin County
|
Strongly oppose
| 1
|
4 yr college degree
| 4
|
City
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Unknown
|
17
| 17
|
I support affordable housing
|
I do not support
|
Kamala Harris
|
50+
|
Fairfax County
|
Strongly oppose
| 0.5
|
4 yr college degree
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"I support affordable housing\"\nmain.byo_worst_words: \"I do not support\"\n ",
"role": "user"
}
] |
Unknown
|
18
| 18
| null | null |
Kamala Harris
|
50+
|
Los Angeles County
|
Strongly oppose
| 1
|
Some college or 2 year college
| 4
|
City
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Positive
|
19
| 19
| null | null |
Did not vote for President
|
18 to 29
|
King County
|
Strongly oppose
| 0
|
Some college or 2 year college
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Positive
|
20
| 20
| null | null |
Did not vote for President
|
30 to 49
|
Maricopa County
|
Neither support nor oppose
| 0.5
|
Some college or 2 year college
| 4
|
City
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Neutral
|
21
| 21
| null | null |
Donald Trump
|
50+
|
Kings County
|
Somewhat oppose
| 1
|
Some college or 2 year college
| 20
|
City
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Unknown
|
22
| 22
| null | null |
Donald Trump
|
30 to 49
|
Nassau County
|
Strongly oppose
| 0
|
Some college or 2 year college
| 12
|
Suburb
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Unknown
|
23
| 23
| null | null |
Did not vote for President
|
30 to 49
|
Stafford County
|
Strongly oppose
| 1
|
LTHS or HS grad
| 4
|
Town
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
24
| 24
| null | null |
Kamala Harris
|
30 to 49
|
Hamilton County
|
Neither support nor oppose
| 0.5
|
4 yr college degree
| 4
|
City
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Positive
|
25
| 25
| null | null |
Kamala Harris
|
30 to 49
|
Burlington County
|
Somewhat oppose
| 0
|
Grad/Prof degree
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Positive
|
26
| 26
|
Not sure
|
Idk
|
Kamala Harris
|
50+
|
Cook County
|
Somewhat oppose
| 1
|
4 yr college degree
| 4
|
Suburb
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"Not sure\"\nmain.byo_worst_words: \"Idk\"\n ",
"role": "user"
}
] |
Negative
|
27
| 27
|
I live in a very quiet very affluent neighborhood. We don’t have to worry about criminals around here and I’m sorry to say low income people no matter what color they are brings in crime. I don’t want my neighborhood to change. I love it as is.
|
Keep my neighborhood as is please.
|
Kamala Harris
|
30 to 49
|
Cook County
|
Strongly oppose
| 0
|
Grad/Prof degree
| 4
|
City
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"I live in a very quiet very affluent neighborhood. We don’t have to worry about criminals around here and I’m sorry to say low income people no matter what color they are brings in crime. I don’t want my neighborhood to change. I love it as is.\"\nmain.byo_worst_words: \"Keep my neighborhood as is please.\"\n ",
"role": "user"
}
] |
Unknown
|
28
| 28
|
I feel it's something I could do to help the community by showing and expressing support for a much needed affordable housing
| null |
Kamala Harris
|
30 to 49
|
Los Angeles County
|
Strongly oppose
| 0.75
|
Some college or 2 year college
| 8
|
City
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"I feel it's something I could do to help the community by showing and expressing support for a much needed affordable housing\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
29
| 29
| null | null |
Did not vote for President
|
18 to 29
|
Mecklenburg County
|
Somewhat oppose
| 0
|
LTHS or HS grad
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Unknown
|
30
| 30
|
i would say even if this would benefit a few peoples houses values would drop they would be more crime and lower class people would occupy the neighborhood
| null |
Donald Trump
|
50+
|
Broward County
|
Strongly support
| 0
|
LTHS or HS grad
| 20
|
City
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"i would say even if this would benefit a few peoples houses values would drop they would be more crime and lower class people would occupy the neighborhood\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
31
| 31
| null | null |
Did not vote for President
|
18 to 29
|
Stark County
|
Somewhat oppose
| 1
|
LTHS or HS grad
| 4
|
Suburb
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Neutral
|
32
| 32
| null | null |
Kamala Harris
|
50+
|
Macomb County
|
Somewhat oppose
| 0.5
|
LTHS or HS grad
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Neutral
|
33
| 33
| null | null |
Not eligible to vote
|
18 to 29
|
Riverside County
|
Neither support nor oppose
| 1
|
LTHS or HS grad
| 4
|
City
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Unknown
|
34
| 34
| null | null |
Did not vote for President
|
50+
|
Snohomish County
|
Strongly oppose
| 1
|
Some college or 2 year college
| 4
|
Suburb
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
35
| 35
| null | null |
Donald Trump
|
50+
|
Anoka County
|
Somewhat oppose
| 0
|
Some college or 2 year college
| 8
|
Suburb
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
36
| 36
| null | null |
Kamala Harris
|
30 to 49
|
New York County
|
Strongly support
| 1
|
4 yr college degree
| 40
|
City
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
37
| 37
| null | null |
Donald Trump
|
18 to 29
|
Lorain County
|
Neither support nor oppose
| 0.5
|
LTHS or HS grad
| 4
|
City
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Unknown
|
38
| 38
|
That we.need affordable housing
|
We.need affordable housing
|
Kamala Harris
|
50+
|
New Castle County
|
Somewhat oppose
| 0.25
|
4 yr college degree
| 8
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"That we.need affordable housing\"\nmain.byo_worst_words: \"We.need affordable housing\"\n ",
"role": "user"
}
] |
Negative
|
39
| 39
|
I would say that I want something with a mix of different income levels but want something that won’t raise my taxes.
| null |
Kamala Harris
|
30 to 49
|
Hamilton County
|
Strongly oppose
| 0.25
|
4 yr college degree
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"I would say that I want something with a mix of different income levels but want something that won’t raise my taxes.\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
40
| 40
|
I would just be there to voice the need for affordable housing in my neighborhood. This is a college town and there aren't enough places for lower income people even though lower income people are what keeps this city alive.
| null |
Donald Trump
|
30 to 49
|
Washtenaw County
|
Somewhat oppose
| 1
|
Some college or 2 year college
| 8
|
City
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"I would just be there to voice the need for affordable housing in my neighborhood. This is a college town and there aren't enough places for lower income people even though lower income people are what keeps this city alive.\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Unknown
|
41
| 41
|
I would like to know if they will provide any perks for the neighborhood and neighbors in the surrounding area
|
I would like to know if they will provide extra security
|
Kamala Harris
|
30 to 49
|
Camden County
|
Somewhat support
| 1
|
Some college or 2 year college
| 4
|
City
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"I would like to know if they will provide any perks for the neighborhood and neighbors in the surrounding area\"\nmain.byo_worst_words: \"I would like to know if they will provide extra security\"\n ",
"role": "user"
}
] |
Unknown
|
42
| 42
| null | null |
Kamala Harris
|
50+
|
Cook County
|
Somewhat support
| 0.75
|
LTHS or HS grad
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Unknown
|
43
| 43
| null | null |
Donald Trump
|
30 to 49
|
Palm Beach County
|
Somewhat oppose
| 0
|
Some college or 2 year college
| 4
|
Suburb
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
44
| 44
|
I would tell them we need low income housing in our area,
|
I would tell them we do not need high priced apts in our area
|
Kamala Harris
|
50+
|
Lake County
|
Strongly oppose
| 1
|
Some college or 2 year college
| 8
|
Suburb
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"I would tell them we need low income housing in our area,\"\nmain.byo_worst_words: \"I would tell them we do not need high priced apts in our area\"\n ",
"role": "user"
}
] |
Negative
|
45
| 45
| null | null |
Donald Trump
|
30 to 49
|
Wayne County
|
Neither support nor oppose
| 0.5
|
Some college or 2 year college
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Unknown
|
46
| 46
| null | null |
Donald Trump
|
18 to 29
|
Los Angeles County
|
Neither support nor oppose
| 0.5
|
Some college or 2 year college
| 8
|
City
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Unknown
|
47
| 47
|
modern to me
|
nice for me
|
Donald Trump
|
30 to 49
|
Cook County
|
Somewhat support
| 0.75
|
Grad/Prof degree
| 20
|
City
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"modern to me\"\nmain.byo_worst_words: \"nice for me\"\n ",
"role": "user"
}
] |
Negative
|
48
| 48
| null | null |
Kamala Harris
|
30 to 49
|
Tarrant County
|
Neither support nor oppose
| 0.5
|
4 yr college degree
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
49
| 49
| null | null |
Other
|
18 to 29
|
Harris County
|
Neither support nor oppose
| 0
|
LTHS or HS grad
| 8
|
Suburb
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Positive
|
50
| 50
| null | null |
Did not vote for President
|
50+
|
Allegheny County
|
Neither support nor oppose
| 0.25
|
Some college or 2 year college
| 4
|
Suburb
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
51
| 51
|
No parking allocation is a huge NO
|
No parking allocation is a huge no
|
Donald Trump
|
50+
|
Orange County
|
Somewhat oppose
| 0.25
|
Some college or 2 year college
| 4
|
Suburb
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"No parking allocation is a huge NO\"\nmain.byo_worst_words: \"No parking allocation is a huge no\"\n ",
"role": "user"
}
] |
Negative
|
52
| 52
|
We do not need a large amount of low income housing. We do need more medium income housing.
|
The crime rate is already high. This building would only make things worse. This building would have a huge impact on our schools in a negative way.
|
Donald Trump
|
50+
|
Lorain County
|
Strongly support
| 0.25
|
Some college or 2 year college
| 8
|
City
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"We do not need a large amount of low income housing. We do need more medium income housing.\"\nmain.byo_worst_words: \"The crime rate is already high. This building would only make things worse. This building would have a huge impact on our schools in a negative way.\"\n ",
"role": "user"
}
] |
Neutral
|
53
| 53
| null | null |
Donald Trump
|
18 to 29
|
Nassau County
|
Somewhat support
| 0.5
|
Some college or 2 year college
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
54
| 54
| null | null |
Did not vote for President
|
30 to 49
|
Cuyahoga County
|
Somewhat oppose
| 0
|
Some college or 2 year college
| 8
|
Suburb
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
55
| 55
| null | null |
Donald Trump
|
50+
|
Montgomery County
|
Neither support nor oppose
| 0.5
|
Some college or 2 year college
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Unknown
|
56
| 56
|
Traffic is already pretty bad in my area so I would say it would make traffic worse. More traffic will cause more car accidents.
| null |
Kamala Harris
|
50+
|
Osceola County
|
Somewhat oppose
| 0.25
|
Some college or 2 year college
| 4
|
City
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"Traffic is already pretty bad in my area so I would say it would make traffic worse. More traffic will cause more car accidents.\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
57
| 57
|
This town has been deemed low income neighborhood for 30+ years. It's a place where we all treat each other as one. There's no putting other families down because we all live here. If you start adding condo's for rich people, it's going to cause a major issue. They'll start complaining that our houses need to look like their valued at over $200,000 and up. When I first bought my house and I started renovating each room when I had money and a sheet of drywall was $2.99 a sheet on regular price. Now it's over $13 a sheet and up. Most of us can afford to get new siding on their homes. They'd create so many issues for the low income families. As a matter of fact, one individual that has a rich daddy came down to our town to see the property his dad owns down here and I hadn't been able to cut my grass yet, he put a note on my car threatening to kill my family if it wasn't cut next time he came through. Needless to say, I'm not sitting back with this threat. My point is, people with money would do the same, with less drastic threats.
|
I would tell them that we get along just well in this neighborhood and understand we're not all rich. We would pitch in to help these people in any ways that we can. We've already gotten 2 low income buildings in our area. We're down here in our own happy town. Once money starts coming into play, we'll be having to find a new place to live.
|
Donald Trump
|
50+
|
Allegheny County
|
Strongly oppose
| 1
|
Some college or 2 year college
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"This town has been deemed low income neighborhood for 30+ years. It's a place where we all treat each other as one. There's no putting other families down because we all live here. If you start adding condo's for rich people, it's going to cause a major issue. They'll start complaining that our houses need to look like their valued at over $200,000 and up. When I first bought my house and I started renovating each room when I had money and a sheet of drywall was $2.99 a sheet on regular price. Now it's over $13 a sheet and up. Most of us can afford to get new siding on their homes. They'd create so many issues for the low income families. As a matter of fact, one individual that has a rich daddy came down to our town to see the property his dad owns down here and I hadn't been able to cut my grass yet, he put a note on my car threatening to kill my family if it wasn't cut next time he came through. Needless to say, I'm not sitting back with this threat. My point is, people with money would do the same, with less drastic threats.\"\nmain.byo_worst_words: \"I would tell them that we get along just well in this neighborhood and understand we're not all rich. We would pitch in to help these people in any ways that we can. We've already gotten 2 low income buildings in our area. We're down here in our own happy town. Once money starts coming into play, we'll be having to find a new place to live.\"\n ",
"role": "user"
}
] |
Negative
|
58
| 58
| null | null |
Did not vote for President
|
18 to 29
|
Nassau County
|
Neither support nor oppose
| 0.75
|
4 yr college degree
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Positive
|
59
| 59
| null | null |
Did not vote for President
|
30 to 49
|
Bronx County
|
Somewhat support
| 0.75
|
LTHS or HS grad
| 4
|
Town
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Neutral
|
60
| 60
|
I think that when you lower the prices so dramatically, you tend to get people who are more likely to use drugs, break the law, and make the neighborhood unsafe. By increasing the price of some apartments, you will attract people who are more likely to be responsible.
|
I believe the argument above applies here as well.
|
Donald Trump
|
30 to 49
|
Los Angeles County
|
Neither support nor oppose
| 0
|
LTHS or HS grad
| 4
|
City
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"I think that when you lower the prices so dramatically, you tend to get people who are more likely to use drugs, break the law, and make the neighborhood unsafe. By increasing the price of some apartments, you will attract people who are more likely to be responsible.\"\nmain.byo_worst_words: \"I believe the argument above applies here as well.\"\n ",
"role": "user"
}
] |
Unknown
|
61
| 61
|
Would prefer to still have good neigborhood and school district
|
Would like to have safe neighborhood
|
Kamala Harris
|
30 to 49
|
Westchester County
|
Somewhat support
| 0.25
|
4 yr college degree
| 12
|
Suburb
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"Would prefer to still have good neigborhood and school district\"\nmain.byo_worst_words: \"Would like to have safe neighborhood\"\n ",
"role": "user"
}
] |
Neutral
|
62
| 62
| null | null |
Did not vote for President
|
18 to 29
|
Passaic County
|
Strongly oppose
| 0.75
|
Some college or 2 year college
| 4
|
Suburb
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Positive
|
63
| 63
|
This would represent & encourage people's & families of all economic backgrounds, which would reflect a desired sense of community.
|
The interests of all socio-economic backgrounds would NOT be served in this model, and would not reflect or represent the interests of the community as a whole.
|
Donald Trump
|
50+
|
Cass County
|
Somewhat oppose
| 0.75
|
Grad/Prof degree
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"This would represent & encourage people's & families of all economic backgrounds, which would reflect a desired sense of community.\"\nmain.byo_worst_words: \"The interests of all socio-economic backgrounds would NOT be served in this model, and would not reflect or represent the interests of the community as a whole.\"\n ",
"role": "user"
}
] |
Unknown
|
64
| 64
|
I would express my approval for the building and it’s low rent laws.
| null |
Kamala Harris
|
18 to 29
|
Santa Clara County
|
Strongly oppose
| 1
|
Some college or 2 year college
| 4
|
City
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"I would express my approval for the building and it’s low rent laws.\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
65
| 65
| null | null |
Kamala Harris
|
30 to 49
|
Baltimore city
|
Strongly oppose
| 1
|
Some college or 2 year college
| 8
|
City
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
66
| 66
|
Housing should be affordable for all
| null |
Kamala Harris
|
30 to 49
|
Marion County
|
Neither support nor oppose
| 1
|
Some college or 2 year college
| 4
|
Suburb
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"Housing should be affordable for all\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
67
| 67
|
I would bring up the fact that a strong neighborhood means a diversity of people and their economic situation. The way that strong societies get created is by having a mix of people.
|
We need to have an economic balance. It is important to have diversity in incomes. That is what will build a strong AND financially stable community.
|
Kamala Harris
|
30 to 49
|
DuPage County
|
Strongly support
| 0
|
Grad/Prof degree
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"I would bring up the fact that a strong neighborhood means a diversity of people and their economic situation. The way that strong societies get created is by having a mix of people.\"\nmain.byo_worst_words: \"We need to have an economic balance. It is important to have diversity in incomes. That is what will build a strong AND financially stable community.\"\n ",
"role": "user"
}
] |
Negative
|
68
| 68
| null | null |
Donald Trump
|
50+
|
Washington County
|
Neither support nor oppose
| 0.25
|
4 yr college degree
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
69
| 69
| null | null |
Donald Trump
|
18 to 29
|
Bergen County
|
Somewhat support
| 0.5
|
Some college or 2 year college
| 8
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Neutral
|
70
| 70
| null | null |
Kamala Harris
|
30 to 49
|
DeKalb County
|
Strongly oppose
| 1
|
Some college or 2 year college
| 12
|
City
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
71
| 71
|
I would recommend having a easier way to make housing affordable and the payment structure
| null |
Donald Trump
|
18 to 29
|
Kings County
|
Somewhat support
| 1
|
4 yr college degree
| 40
|
City
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"I would recommend having a easier way to make housing affordable and the payment structure\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
72
| 72
| null | null |
Did not vote for President
|
30 to 49
|
Los Angeles County
|
Somewhat oppose
| 0.5
|
4 yr college degree
| 4
|
City
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
73
| 73
| null | null |
Donald Trump
|
30 to 49
|
Orange County
|
Somewhat support
| 0
|
4 yr college degree
| 4
|
City
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
74
| 74
|
I feel the proposal of this building should be evaluated more because crime will increase and back ground checks should be a monthly check up for all tenant. Kids and adults will be targeted by people who are not a tenant and it will bring the value down.
|
The neighbor hood is already in limbo bringing this type of apartment will just add to the chaos we are already dealing with with crime and people not authorized to be in the apartments.
|
Did not vote for President
|
30 to 49
|
Harris County
|
Strongly oppose
| 0
|
Some college or 2 year college
| 8
|
City
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"I feel the proposal of this building should be evaluated more because crime will increase and back ground checks should be a monthly check up for all tenant. Kids and adults will be targeted by people who are not a tenant and it will bring the value down.\"\nmain.byo_worst_words: \"The neighbor hood is already in limbo bringing this type of apartment will just add to the chaos we are already dealing with with crime and people not authorized to be in the apartments.\"\n ",
"role": "user"
}
] |
Unknown
|
75
| 75
| null | null |
Did not vote for President
|
30 to 49
|
Wayne County
|
Strongly oppose
| 1
|
Grad/Prof degree
| 4
|
City
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Unknown
|
76
| 76
|
I would hope more units were made for tenet so that they are affordable to family in need.
|
They should build this in an area were most people couldn't afford to pay the rent.
|
Donald Trump
|
18 to 29
|
Prince George's County
|
Strongly oppose
| 1
|
4 yr college degree
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"I would hope more units were made for tenet so that they are affordable to family in need.\"\nmain.byo_worst_words: \"They should build this in an area were most people couldn't afford to pay the rent.\"\n ",
"role": "user"
}
] |
Unknown
|
77
| 77
| null | null |
Donald Trump
|
50+
|
Ventura County
|
Strongly oppose
| 0
|
Some college or 2 year college
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Unknown
|
78
| 78
| null | null |
Kamala Harris
|
18 to 29
|
Lake County
|
Somewhat oppose
| 0.25
|
Some college or 2 year college
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
79
| 79
|
We need affordable housing
|
We need affordable housing
|
Kamala Harris
|
50+
|
St. Clair County
|
Strongly oppose
| 1
|
Some college or 2 year college
| 8
|
Town
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"We need affordable housing\"\nmain.byo_worst_words: \"We need affordable housing\"\n ",
"role": "user"
}
] |
Positive
|
80
| 80
| null | null |
Kamala Harris
|
50+
|
Contra Costa County
|
Somewhat oppose
| 0.25
|
4 yr college degree
| 8
|
City
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
81
| 81
| null | null |
Kamala Harris
|
50+
|
Kane County
|
Somewhat oppose
| 0
|
Some college or 2 year college
| 4
|
Suburb
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Unknown
|
82
| 82
|
Why does if have to be like that
|
Why is the rent so high
|
Kamala Harris
|
50+
|
Cook County
|
Somewhat oppose
| 1
|
LTHS or HS grad
| 4
|
City
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"Why does if have to be like that\"\nmain.byo_worst_words: \"Why is the rent so high\"\n ",
"role": "user"
}
] |
Negative
|
83
| 83
| null | null |
Did not vote for President
|
50+
|
Harford County
|
Strongly oppose
| 1
|
Some college or 2 year college
| 4
|
Suburb
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
84
| 84
|
I support building more housing in our neighborhood, especially units that are affordable to a lot of different families. This can help meet local housing needs for our area.
|
I think building more homes that people can afford is a great idea. It can help families, workers, and people ho need a place to live. Having a mix of prices means more kinds of people can live here.
|
Kamala Harris
|
30 to 49
|
Maricopa County
|
Somewhat support
| 1
|
LTHS or HS grad
| 8
|
City
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"I support building more housing in our neighborhood, especially units that are affordable to a lot of different families. This can help meet local housing needs for our area.\"\nmain.byo_worst_words: \"I think building more homes that people can afford is a great idea. It can help families, workers, and people ho need a place to live. Having a mix of prices means more kinds of people can live here.\"\n ",
"role": "user"
}
] |
Unknown
|
85
| 85
|
We live in a single family residence neighborhood, no apartment buildings are allowed by zoning restrictions.
|
Same as above..current zoning in my neighborhood does not allow apartment buildings.
|
Kamala Harris
|
50+
|
Hennepin County
|
Strongly oppose
| 0
|
Some college or 2 year college
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"We live in a single family residence neighborhood, no apartment buildings are allowed by zoning restrictions.\"\nmain.byo_worst_words: \"Same as above..current zoning in my neighborhood does not allow apartment buildings.\"\n ",
"role": "user"
}
] |
Neutral
|
86
| 86
| null | null |
Kamala Harris
|
50+
|
Philadelphia County
|
Somewhat oppose
| 0
|
Grad/Prof degree
| 4
|
City
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Unknown
|
87
| 87
|
Do not let lower income people live in my neighborhood
|
Do not let low income people live in my neighborhood.
|
Donald Trump
|
30 to 49
|
Queens County
|
Strongly oppose
| 0
|
Grad/Prof degree
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"Do not let lower income people live in my neighborhood\"\nmain.byo_worst_words: \"Do not let low income people live in my neighborhood.\"\n ",
"role": "user"
}
] |
Negative
|
88
| 88
|
because is good
|
becuase is a good idea
|
Donald Trump
|
30 to 49
|
Denver County
|
Strongly support
| 1
|
Grad/Prof degree
| 20
|
City
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"because is good\"\nmain.byo_worst_words: \"becuase is a good idea\"\n ",
"role": "user"
}
] |
Neutral
|
89
| 89
|
Think about the people here and what you're doing.
| null |
Other
|
30 to 49
|
Jackson County
|
Strongly oppose
| 0
|
Some college or 2 year college
| 4
|
City
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"Think about the people here and what you're doing.\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
90
| 90
|
My neighborhood is single family homes with limited parking on the street
This would not only change the value of our properties, it would also play havoc on the street parking
|
I am totally apposed to adding apartments to our single family area
|
Donald Trump
|
50+
|
Los Angeles County
|
Strongly oppose
| 0
|
LTHS or HS grad
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"My neighborhood is single family homes with limited parking on the street\nThis would not only change the value of our properties, it would also play havoc on the street parking\"\nmain.byo_worst_words: \"I am totally apposed to adding apartments to our single family area\"\n ",
"role": "user"
}
] |
Positive
|
91
| 91
| null | null |
Donald Trump
|
50+
|
Rockingham County
|
Strongly oppose
| 0
|
Grad/Prof degree
| 8
|
City
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
92
| 92
| null | null |
Not eligible to vote
|
18 to 29
|
St. Louis County
|
Strongly oppose
| 1
|
Some college or 2 year college
| 4
|
Suburb
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
93
| 93
|
We have a need for affordable, well-maintained housing to care for our diverse population: our unhoused, young students, working-class individuals, middle-class families, retirees, and others living on fixed incomes. We're an affluent neighborhood as a whole, and part of the richness of our lives comes from maintaining this diversity. Our older housing stock largely focuses on large single-family homes that are increasingly divided into sub-units, in part due to rising housing costs and the profit to be found in market-rate rentals. A multi-family building focused on affordable housing will be the start -- if only the start -- to address the issues of affordability, density, and the continued economic viability of our neighborhood for EVERYONE.
|
This kind of proposal, where only a small percentage of units are actually allotted to those who need affordable housing most, is nothing more than posturing by developers. It's a back-door method to sneak in yet more market-rate housing and exploitative practices.
|
Kamala Harris
|
50+
|
Allegheny County
|
Strongly oppose
| 1
|
Grad/Prof degree
| 8
|
City
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"We have a need for affordable, well-maintained housing to care for our diverse population: our unhoused, young students, working-class individuals, middle-class families, retirees, and others living on fixed incomes. We're an affluent neighborhood as a whole, and part of the richness of our lives comes from maintaining this diversity. Our older housing stock largely focuses on large single-family homes that are increasingly divided into sub-units, in part due to rising housing costs and the profit to be found in market-rate rentals. A multi-family building focused on affordable housing will be the start -- if only the start -- to address the issues of affordability, density, and the continued economic viability of our neighborhood for EVERYONE.\"\nmain.byo_worst_words: \"This kind of proposal, where only a small percentage of units are actually allotted to those who need affordable housing most, is nothing more than posturing by developers. It's a back-door method to sneak in yet more market-rate housing and exploitative practices.\"\n ",
"role": "user"
}
] |
Neutral
|
94
| 94
| null | null |
Donald Trump
|
30 to 49
|
Riverside County
|
Somewhat support
| 1
|
LTHS or HS grad
| 4
|
City
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Unknown
|
95
| 95
|
I'm opposed because my neighborhood already has an issue with parking and it would affect property values.
|
The neighborhood also already has an issue with parking and it would affect property values
|
Kamala Harris
|
50+
|
Wyandotte County
|
Strongly oppose
| 0
|
4 yr college degree
| 4
|
City
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"I'm opposed because my neighborhood already has an issue with parking and it would affect property values.\"\nmain.byo_worst_words: \"The neighborhood also already has an issue with parking and it would affect property values\"\n ",
"role": "user"
}
] |
Neutral
|
96
| 96
|
I would express how though constructing a new building brings quality living. With the fluctuations of inflation it is not possible for families to afford residency here with our a consistent subsidiary from the Government.
|
I would express how the quality living of the building would benefit high income residents because they could also use the spiked rent as a write off on their taxes they are capped at as high income earners. Yet primarily it is only making the landlords wealthy and declining city living standards.
|
Kamala Harris
|
50+
|
New York County
|
Strongly oppose
| 1
|
Grad/Prof degree
| 40
|
City
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"I would express how though constructing a new building brings quality living. With the fluctuations of inflation it is not possible for families to afford residency here with our a consistent subsidiary from the Government.\"\nmain.byo_worst_words: \"I would express how the quality living of the building would benefit high income residents because they could also use the spiked rent as a write off on their taxes they are capped at as high income earners. Yet primarily it is only making the landlords wealthy and declining city living standards.\"\n ",
"role": "user"
}
] |
Neutral
|
97
| 97
| null | null |
Did not vote for President
|
30 to 49
|
Wyandotte County
|
Somewhat support
| 0
|
LTHS or HS grad
| 4
|
City
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Positive
|
98
| 98
| null | null |
Donald Trump
|
50+
|
San Bernardino County
|
Strongly support
| 1
|
LTHS or HS grad
| 40
|
City
| 1
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Negative
|
99
| 99
|
I would just attend to hear what information would be shared and what type of it would I use
|
I would ask questions about the building and how affordable it is
|
Kamala Harris
|
30 to 49
|
Bronx County
|
Somewhat support
| 0.75
|
4 yr college degree
| 20
|
City
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"I would just attend to hear what information would be shared and what type of it would I use\"\nmain.byo_worst_words: \"I would ask questions about the building and how affordable it is\"\n ",
"role": "user"
}
] |
Positive
|
100
| 100
| null | null |
Kamala Harris
|
50+
|
Los Angeles County
|
Somewhat oppose
| 1
|
4 yr college degree
| 4
|
Suburb
| 0
|
[
{
"content": "/no_think",
"role": "system"
},
{
"content": "\nPlease classify whether a survey respondent's\nattitude towards affordable housing is positive, negative, neutral, or unknown based on the\nvalues of two questions called main.byo_best_words and main.byo_worst_words.\nThese questions ask the respondent to provide words that best and worst describe their feelings\nabout affordable housing. The values of these questions may be \"BLANK\" if the respondent\ndid not provide an answer.\nThe user will provide you with the values of these two questions, and you will respond with either\n\"positive\", \"negative\", \"neutral\", or \"unknown\".\nIf the values of both questions are \"BLANK\", you should respond with \"unknown\".\n\nAnswer of the respondent:\nmain.byo_best_words: \"BLANK\"\nmain.byo_worst_words: \"BLANK\"\n ",
"role": "user"
}
] |
Unknown
|
End of preview. Expand
in Data Studio
Generated Responses Dataset
This dataset contains generated responses for prompts from freddyaboulton/affordable-housing-conversations.
Generation Details
- Source Dataset: freddyaboulton/affordable-housing-conversations
- Input Column:
messages(chat messages) - Model: Qwen/Qwen3-8B
- Number of Examples: 2,618
- Generation Date: 2025-10-30T11:05:55.916043
Sampling Parameters
- Temperature: 0.7
- Top P: 0.8
- Top K: 20
- Min P: 0.0
- Max Tokens: 16384
- Repetition Penalty: 1.0
Hardware Configuration
- Tensor Parallel Size: 1
- GPU Configuration: 1 GPU(s)
Dataset Structure
The dataset contains all columns from the source dataset plus:
response: The generated response from the model
Generation Script
Generated using the vLLM inference script from uv-scripts/vllm.
To reproduce this generation:
uv run https://huggingface.co/datasets/uv-scripts/vllm/raw/main/generate-responses.py \
freddyaboulton/affordable-housing-conversations \
<output-dataset> \
--model-id Qwen/Qwen3-8B \
--messages-column messages \
--temperature 0.7 \
--top-p 0.8 \
--top-k 20 \
--max-tokens 16384 \\\n --max-model-len 15000
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