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Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Is Wikipedia valuable?
Argument: Many vandalisms on Wikipedia are not corrected for months.
Output:
|
[
"against"
] |
task209-05ab0f26449f479dadab0d950e9f6388
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Privatizing social security
Argument: Privatizing social security offers ownership in economy.
Output:
|
[
"in favor"
] |
task209-1fce71ebc05344fab2ede715e0af29da
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Hunting for sport
Argument: Modern humans have lost touch with animals and our likeness.
Output:
|
[
"against"
] |
task209-9165ad1a8bcd4f5bab262df0fb0b85d2
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Infant male circumcision
Argument: Pain of circumcision is traumatizing for infants.
Output:
|
[
"against"
] |
task209-7b80b0652a6a4f82ad4f54beb98ae72c
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Right to bear arms in the US
Argument: America's modern military makes the militia unnecessary for national security.
Output:
|
[
"against"
] |
task209-b5d9317f7e2443119a540babab6eb93f
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: MBA
Argument: Corporate demand for MBA is strong.
Output:
|
[
"in favor"
] |
task209-5f49caa6434649c390db84cb81009b3c
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Graduated response antipiracy laws
Argument: Graduated response helps maintain user privacy.
Output:
|
[
"in favor"
] |
task209-e7860c583d2b4bf5ab62a3fa174dcad6
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Gay adoption
Argument: There is no scientific basis for concluding that gay and lesbian parents are any less fit or capable than heterosexual parents, or that their children are any less psychologically healthy and well adjusted.
Output:
|
[
"in favor"
] |
task209-9ea759d559524ed0adee0167090b490f
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Prostitution
Argument: Prostitution is an inappropriate solution to poverty.
Output:
|
[
"against"
] |
task209-ee7ed8b948e74fa7afda639251e362dc
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Ground zero mosque
Argument: Park51 is certainly within broad attack zone of ground zero.
Output:
|
[
"neutral"
] |
task209-9a2a82f079f64006990927e76938659e
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Joint JD/MBA degree
Argument: JD as credential has poor return on investment.
Output:
|
[
"against"
] |
task209-1f257e5ddc494749910f8ed244176b82
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Turkey EU membership
Argument: EU membership for Turkey would help liberalize the Middle East.
Output:
|
[
"in favor"
] |
task209-da5f092e685b40b799050d0bdf74eea9
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Airport security profiling
Argument: Profiling counterproductively contributes to fear and insecurity.
Output:
|
[
"against"
] |
task209-a80602245d014563a911b3796b24f065
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Banning cell phones in cars
Argument: Cell phones should only be used while driving in dire situations.
Output:
|
[
"in favor"
] |
task209-726ff5d3d9044a8d829ecc5928fd41ef
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Geoengineering
Argument: Many geoengineering approaches are harmless like painting roofs.
Output:
|
[
"in favor"
] |
task209-00d2db6127ef4731963c2434e114e57a
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Trying 9/11 terror suspects in NYC courts
Argument: Terrorist trial in NY gives appearance of US weakness.
Output:
|
[
"against"
] |
task209-7f0468bfde7647acbbafca0c0e0c54c3
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: European Union Expansion
Argument: EU expansion will improve flow of knowledge and technology.
Output:
|
[
"in favor"
] |
task209-d950a2d67b11493c8b005adfb6045c9f
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Ban on laser pointers
Argument: Laser pointers have the capability to bring down aircraft and cause major accidents.
Output:
|
[
"in favor"
] |
task209-12f7f21dedc748e4a58771c7c3f1fef1
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Balanced budget amendment to US Constitution
Argument: Politicians can't make hard choices; BBA necessary.
Output:
|
[
"in favor"
] |
task209-570a7265d5244cb6a97f41c7ef9d5b50
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Filibuster
Argument: During turmoil, filibusters impede government progress.
Output:
|
[
"against"
] |
task209-a394a8fe20ca4c239daa2355b6cd8e16
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Hate crime laws
Argument: Hate crime laws force false categorizations of minority groups.
Output:
|
[
"against"
] |
task209-70fb15b54ce94b7da141dd12db8e0faa
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Geoengineering
Argument: Geoengineering is too costly.
Output:
|
[
"against"
] |
task209-748654fef5894642b72cf11e2000c0a1
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: US offshore oil drilling
Argument: Noise from offshore drilling can harm sea animals.
Output:
|
[
"against"
] |
task209-27b8162a434b4e1d8b838c317dfe33ed
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Algae biofuel
Argument: Industrial algae biofuel requires too many nutrients.
Output:
|
[
"against"
] |
task209-2e02e4dd12b843eb9fa1608a4df8eaa6
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Natural gas
Argument: Natural gas will lower fossil fuel prices and increase consumption.
Output:
|
[
"in favor"
] |
task209-d1b57f7585cd412e971624b3cab0d16a
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Filibuster
Argument: Filibuster wrongly burdens majority party.
Output:
|
[
"against"
] |
task209-c5542e5d3fa84ef791f7b8f7bf35b40c
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Bullfighting
Argument: Bullfighting is too dangerous to humans to justify.
Output:
|
[
"against"
] |
task209-a1647052112e49ca9d1d4c9893092c3e
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Corporate free speech
Argument: Free speech does not apply equally to companies.
Output:
|
[
"against"
] |
task209-7e122c4b202e48149c911955772e63b4
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: EU elected president
Argument: Being a part of the process is an important requirement in any democracy.
Output:
|
[
"in favor"
] |
task209-88c944edcd24418480622b5d5d6bd0f6
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Palestinian right of return
Argument: Right of return jeopardizes Israeli welfare, so invalid.
Output:
|
[
"against"
] |
task209-7b8945e9404142eda33955308b74f020
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: UN Security Council veto
Argument: The hidden threat of the UN veto is a major concern.
Output:
|
[
"against"
] |
task209-afa2966b03c84ef28b9518a0ea1a421e
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Lowering US drinking age from 21 to 18
Argument: 21 drinking-age general lowers under-age drinking.
Output:
|
[
"against"
] |
task209-33caeb08a5b946f19f4d8323f9355cab
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Bombing Hiroshima and Nagasaki
Argument: Conventional bombs would not kill so many people.
Output:
|
[
"against"
] |
task209-5b18fdcab6844a87977ec439d7b697dd
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Abolition of nuclear weapons
Argument: A nuclear abolition treaty is feasible with worldwide unanimity.
Output:
|
[
"in favor"
] |
task209-322071cbba4644e4babbd392c2da1402
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: EU elected president
Argument: Elections would force EU politicians to act as populists.
Output:
|
[
"against"
] |
task209-7142e42256644dccacd22c26ed43df49
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Michigan and Florida delegates in 2008 US elections
Argument: Michigan and Florida knowingly violated the rules and so should be punished.
Output:
|
[
"against"
] |
task209-6983907e04d94e958daaa2c77b1f34b2
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Assassination of a Dictator
Argument: People would support Israel's assassinations if they lived in Israel.
Output:
|
[
"in favor"
] |
task209-64041e04a25a490a8fd98710cc4b080a
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Dollarization
Argument: Dollarization helps encourage foreign investment.
Output:
|
[
"in favor"
] |
task209-c32f1e35c2db4ce69b3f47e65ee5ec21
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Prisoners right to vote
Argument: Prisoners must be able to influence world they will re-enter.
Output:
|
[
"in favor"
] |
task209-179ec6033a3540128c6f1518b791dadc
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: AIG bonuses
Argument: AIG bonuses are an insult to suffering taxpayers.
Output:
|
[
"against"
] |
task209-9001c6f414e1461bb028601b3cff7083
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Full-body scanners at airports
Argument: Full-body scans more effectively reveal concealed weapons.
Output:
|
[
"in favor"
] |
task209-a42a5d406552425b9451013123d2565a
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Turkey EU membership
Argument: EU states strongly opposed to Turkey's admission should not be dragged along.
Output:
|
[
"against"
] |
task209-72b8edf00ac14170afbb086de949cb25
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Fairness Doctrine
Argument: Popularity of conservative talk radio confirms its legitimacy.
Output:
|
[
"in favor"
] |
task209-451aaa3716854b13a04028fb2fb005bc
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Algae biofuel
Argument: Algae can be produced locally for food and fuel.
Output:
|
[
"in favor"
] |
task209-3a0fdd9f28684259aed43fe4b6417ec1
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Election of judges
Argument: Many officials are appointed; why not judges as well?.
Output:
|
[
"in favor"
] |
task209-e51689bd30f14b7e9fdfc65a69188684
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Vehicle fuel economy standards
Argument: Fuel economy standards do not directly reduce emissions.
Output:
|
[
"against"
] |
task209-c538b9082aa8445bb7845303fc01aab1
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Big government
Argument: Big government invites corporate special interests.
Output:
|
[
"against"
] |
task209-9483b9fe2d71449d8494cca7e1a23f28
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Pornography
Argument: Pornography further victimizes sexual abuse victims.
Output:
|
[
"against"
] |
task209-5c0fc5513aca41fab75ee82145a65b98
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: No-fly zone over Libya
Argument: Past No-fly zones have led to further military intervention.
Output:
|
[
"against"
] |
task209-0e59ceb4bf434db4b83326ed03910906
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Military recruiting in public schools
Argument: The military has a compelling story to tell to youth.
Output:
|
[
"in favor"
] |
task209-b517c3ea6ded44a0a62dc93136eb5bb3
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Random sobriety tests for drivers
Argument: Random breath tests are done to public vehicle drivers.
Output:
|
[
"neutral"
] |
task209-2036d0b302f348f592eba9cd050541be
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Ecotourism
Argument: Ecotourism generates funds for conservation.
Output:
|
[
"in favor"
] |
task209-0d30df953afe46a69bee339c3c424b6a
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Phasing out fossil fuel subsidies
Argument: Ending oil subsidies levels playing field for clean energy.
Output:
|
[
"in favor"
] |
task209-e7e748836a924c478443c823bb1b0e12
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: US Renewable Electricity Standard
Argument: A national renewable energy standard will increase electricity costs.
Output:
|
[
"against"
] |
task209-7bce28639fc44ba7ac44ac6ad2688225
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Full-body scanners at airports
Argument: Full-body scanners are very expensive.
Output:
|
[
"against"
] |
task209-eccd2b7080e6431090f3d9a841d910e2
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Deporting illegal immigrants in the US
Argument: Mass deportation from US would be very expensive.
Output:
|
[
"against"
] |
task209-a52c47c2e2874b0e93d1362c760d2e5c
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: AIG bonuses
Argument: AIG workers/execs that caused collapse won't help recovery.
Output:
|
[
"against"
] |
task209-80bfca6e903e47a7aa2fe50253896b54
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Carbon emissions trading
Argument: Cap-and-trade systems ensure emissions reductions to the set cap.
Output:
|
[
"in favor"
] |
task209-23edecef40ac4d3294fadeb954cbe050
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Ban on laser pointers
Argument: It is easy to catch people with laser pointers, but it's not easy to catch people using them improperly.
Output:
|
[
"against"
] |
task209-4e18568db12148059df6cfb38e905098
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Ground zero mosque
Argument: Banning ground zero mosque would violate sep of church/state.
Output:
|
[
"in favor"
] |
task209-25441d7448014906964047f416425d43
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Affirmative action
Argument: Affirmative action is only way to level playing field.
Output:
|
[
"in favor"
] |
task209-f11c8b3637864edaa722b9ed01832903
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Hydroelectric dams
Argument: The world's rivers are covered with dams; room for expansion is limited.
Output:
|
[
"against"
] |
task209-7305b14e9675443f88edec36980c0a83
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Assassination of a Dictator
Argument: Assassinations erode norms against assassination; jeopardizes leaders.
Output:
|
[
"against"
] |
task209-e9820af6d07346a7bb2adf2a067a2bd9
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Public health insurance option
Argument: Public insurance option will increase taxes, drag-down economy.
Output:
|
[
"against"
] |
task209-499633b705e64108b0b4880867919737
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: $700 billion US economic bailout
Argument: Government should buy stock in banks, not just bail them out.
Output:
|
[
"against"
] |
task209-574a699d032b4882afc2655be7947808
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: 700 mile US Mexico border fence
Argument: A border fence would create an incentive for illegal immigrants to remain inside a country.
Output:
|
[
"in favor"
] |
task209-205c51ea689944a2beff8fd1caed57b2
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Polygamy
Argument: Polygamous women can choose the right husband, even if he is married.
Output:
|
[
"in favor"
] |
task209-afb8650762a24cb4a5fea52ff6b451ee
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Carbon emissions trading
Argument: Carbon trading wrongly turns atmosphere into tradeable property.
Output:
|
[
"against"
] |
task209-35b42fa788a748299e3e77c0b1cc845e
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Law school
Argument: J.D. is not all purpose degree; it's for lawyers.
Output:
|
[
"neutral"
] |
task209-674da96d65dd4139a7d4eaccc314165d
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Manned mission to Mars
Argument: Mars mission would inspire kids to become scientists.
Output:
|
[
"in favor"
] |
task209-6b248cb014404cfbb6b67d5c4884d225
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Hydroelectric dams
Argument: Dams last over a hundred years; good return on investment.
Output:
|
[
"in favor"
] |
task209-c2964bc32ba54e26967b2c203e6a4e0a
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Gene patents
Argument: Gene patents help drive major economic breakthroughs.
Output:
|
[
"in favor"
] |
task209-ad0f700024134b2e9db7901ee27e8af9
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Mandatory calorie counts on menus
Argument: Mandatory calorie counts infringe restaurants' freedom of speech.
Output:
|
[
"against"
] |
task209-fe48a012fa1b4902ae0735e4e9639389
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: NATO expansion
Argument: Expansion will make more resources available to NATO.
Output:
|
[
"in favor"
] |
task209-aad550db56b5453e81f5835e0857f42f
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Pornography
Argument: Pornography is an expression falling under freedom of speech.
Output:
|
[
"in favor"
] |
task209-bb58dd36122946d8809ad93105f1b016
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Big government
Argument: Government avoids pitfalls of focus on profits.
Output:
|
[
"in favor"
] |
task209-eccea9c63de74202aa9819dfc23fd35b
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Trans fat ban
Argument: Trans fat ban needn't be whole solution to be good.
Output:
|
[
"in favor"
] |
task209-25d911adb2714e86a13debec54004722
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Gene patents
Argument: Gene patents and bio-engineering may harm environment/society.
Output:
|
[
"against"
] |
task209-1d7ef180f5cd4af6b4ea34456c44d212
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Return of Israel to pre-1967 borders
Argument: Pre-1967 borders uphold legitimate Palestinian aspirations.
Output:
|
[
"in favor"
] |
task209-9cf6da9f6c8e430ebbf660a5db3c8c57
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Prostitution
Argument: Legalization will increase prostitution and subsequently worsen public health.
Output:
|
[
"against"
] |
task209-ced9b2203a0649a3973b7541e3f6244c
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Google decision to stop censoring results in China
Argument: Google was not censored by China as harshly as others.
Output:
|
[
"neutral"
] |
task209-e0cc49b31884490bb387b073d8cdf626
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Fish farming ban
Argument: Fish feel pain and should not be made to suffer.
Output:
|
[
"in favor"
] |
task209-7f81b28d4ddc4942be019335b6529351
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: High-speed rail
Argument: High-speed rail can't work without subsidies.
Output:
|
[
"against"
] |
task209-c7fc3b29a615430e83dd045a4fca7320
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: $700 billion US economic bailout
Argument: $700b plan would bail-out greedy capitalists that created crisis.
Output:
|
[
"against"
] |
task209-6c9db6a928f6480dbb06c35ca2c6091c
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: War on Drugs
Argument: Costs of Drug War are greater than costs of legalization.
Output:
|
[
"against"
] |
task209-b13e7e2d810c4e0eb9b6506539f6806a
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: UN Security Council veto
Argument: The UN SC veto is justifiably given to nuclear powers.
Output:
|
[
"in favor"
] |
task209-fb1fa0ac6a8b4457a8b9dc10aed231a2
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Corporate personhood
Argument: How do corps. exercise right to life, marriage, etc?.
Output:
|
[
"neutral"
] |
task209-d5b9e34f50044e4891abea57a2c7fec9
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Election of judges
Argument: Impossible to avoid big-money influence in judicial elections.
Output:
|
[
"against"
] |
task209-6cb80ae295e44e2faa8b2f3b43a7ed2d
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Boycott of 2008 Olympics in China
Argument: Only boycotting the Olympics sufficiently protests China's abuses.
Output:
|
[
"in favor"
] |
task209-aa357eff3fb34abcb8aafa31dea58511
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Solar energy
Argument: Decentralized solar power does not take up much land.
Output:
|
[
"in favor"
] |
task209-b6eb70196f79450faf0a6a069a9b4189
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Merit pay for teachers
Argument: Past examples of merit pay for teachers have failed.
Output:
|
[
"against"
] |
task209-fd4c67889da44b808b0ed3abf136cb6e
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: DC handgun ban
Argument: A handgun is uniquely valuable in self defense in one's home.
Output:
|
[
"against"
] |
task209-00c1a5c615b34ee2bccd2e1dbf14ba9f
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: NATO expansion
Argument: Croatia is doing well at securing stability.
Output:
|
[
"in favor"
] |
task209-08f963b081244ca98a15422aaa150dda
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Charter schools
Argument: Charter schools cut through red tape, quickly opening after Katrina.
Output:
|
[
"in favor"
] |
task209-a5083f656eb2463f96a9daecd38f2d3e
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Assault weapons ban in the United States
Argument: The 1994 US assault weapons ban significantly decreased use.
Output:
|
[
"in favor"
] |
task209-2ff2b101d005413296d5af98e8dd5e06
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Fairness Doctrine
Argument: Free speech without Fairness Doctrine can harm policy-making.
Output:
|
[
"in favor"
] |
task209-be36d2328207488694f56da611af7441
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Education vouchers
Argument: Education vouchers improve minority academic achievement.
Output:
|
[
"in favor"
] |
task209-b98f632e5db3487f9f39a85d2ecd0de0
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Graduated response antipiracy laws
Argument: Graduated response is best compromise b/w stakeholders.
Output:
|
[
"in favor"
] |
task209-66c012b30d844704a740b74ca1fc3c16
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Balanced budget amendment to US Constitution
Argument: Congress shouldn't make Amend if it can't make good fiscal leg.
Output:
|
[
"against"
] |
task209-4eb623712f7e4c7c9a8d16cf5cd5d044
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Republika Srpska secession from Bosnia and Herzegovina
Argument: Russian backing of Republika Srpska ind. could spark global conflict.
Output:
|
[
"against"
] |
task209-854ea38ce8924a11a2f45d7839443196
|
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