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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: Legalization of Marijuana
Argument: Legalizing marijuana will reduce profits of traffickers and gangs.
Output:
| [
"in favor"
] | task209-bdb83b6eec8043aaac9814e29bb75372 |
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: Howard Dean, DNC Chairman, said on a re-vote.
Output:
| [
"neutral"
] | task209-80b5e5d3880d4c768429f8bada69de55 |
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 does not preserve but damages local cultures.
Output:
| [
"against"
] | task209-cc355bd66aeb4783a31deccadbff44c6 |
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: Waterboarding
Argument: Waterboarding is a mild interrogation technique.
Output:
| [
"in favor"
] | task209-a1829f13daab46928129df4ff6a64818 |
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: State justified in protecting individuals from own drug abuse.
Output:
| [
"in favor"
] | task209-26113b19d4b04826be52e49c9ac052d7 |
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: Kyoto Protocol
Argument: Kyoto regulations on C02 emissions do not improve air-quality.
Output:
| [
"against"
] | task209-4eeade41e5e9449c8b670d5eb3527cac |
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 marriage
Argument: Gay marriage should not be banned for tradition.
Output:
| [
"in favor"
] | task209-a5e1eb93196f41f1bc6086cd9fbd98ea |
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 strong majority of DC residence support the DC handgun ban.
Output:
| [
"in favor"
] | task209-ff7f5168b3894182b3982c7c53fe8b7d |
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: More troops to Afghanistan under Obama
Argument: W/o more troops, Afgh will become terrorist haven.
Output:
| [
"in favor"
] | task209-5e1b990d08e34b5da859df9ecc5cb8a4 |
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: Health insurance mandates
Argument: Insurance mandates violate the rights of employers.
Output:
| [
"against"
] | task209-0974d65b1db34a1685c1881eb1c0abdb |
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 debt ceiling deal
Argument: Debt deal doesn't cut spending enough to solve deficit.
Output:
| [
"against"
] | task209-25f97a2d5cc34a15804d04e4746129db |
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 and NATO intervention in Libya
Argument: US gave full command in Libya to NATO on April 1.
Output:
| [
"neutral"
] | task209-846d612e414942118c59af7e44450285 |
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: Health insurance cooperatives
Argument: Co-ops are non-profits, not run by government nor companies.
Output:
| [
"neutral"
] | task209-8706b5d8d8f5496aaf73a15aadbb2380 |
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: 2009 US economic stimulus
Argument: New Deal did little-to-nothing to end the Depression.
Output:
| [
"against"
] | task209-ad5cc7d7b6f045c08a8b115e556ec047 |
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: Instant replay in baseball
Argument: Not enough important bad calls occur to justify instant replay.
Output:
| [
"against"
] | task209-c96d226c46df4a28849c1fe1a309dd2b |
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: The 700 mile fence is not relatively expensive.
Output:
| [
"in favor"
] | task209-bf1ad18a17d243149479f36a4aacf23f |
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: Legality of coca production and consumption
Argument: Coca can be used as a local anesthetic.
Output:
| [
"in favor"
] | task209-5490d0b432f44b1c9133a1e1ea81d7c6 |
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: Seattle deep-bore tunnel
Argument: Seattle's deep-bore tunnel creates jobs.
Output:
| [
"in favor"
] | task209-c5a143d20b1e46b5bfd5fa5686d469a5 |
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 and NATO intervention in Libya
Argument: War Powers covers US forces playing supporting role in wars.
Output:
| [
"in favor"
] | task209-b441bddeaab94e00bb1cf02c8e9012e0 |
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: Kyoto Protocol
Argument: The Kyoto Protocol's emissions targets are unrealistic.
Output:
| [
"against"
] | task209-0124dc41f9034922843607d094394462 |
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: Underground nuclear waste storage
Argument: Nuclear energy requires harmful mining/milling of uranium.
Output:
| [
"against"
] | task209-b12dc1a81be64a009a67823b126cae68 |
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: Criminalization of Holocaust denial
Argument: Outlawing Holocaust denial risks revisionists being called deniers.
Output:
| [
"against"
] | task209-05e10d67d570400f8ef51ba0ff363f55 |
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 should not politicize its commerce in China.
Output:
| [
"against"
] | task209-a604d6b175654ee6a5fc4358667a495f |
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: We can commit to Mars mission before knowing how.
Output:
| [
"in favor"
] | task209-05960b8d7e62490bb4ce3642d5e8a1c6 |
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: Health insurance mandates
Argument: Mandatory health insurance cannot be effectively enforced.
Output:
| [
"against"
] | task209-08e6776d02974928ae778f38e7e7d946 |
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: Child beauty pageants
Argument: Parents should be trusted on entering kids in child beauty pageants.
Output:
| [
"in favor"
] | task209-8e17f7afc5f24c3eb9556ffdfd5a5258 |
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: Castration of sex offenders
Argument: Castrating sex offenders gives false sense of security on rape.
Output:
| [
"against"
] | task209-0e4feeb2972646e7a902343d3fad950c |
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: Crime cameras
Argument: Crime cameras help restore a public sense of safety.
Output:
| [
"in favor"
] | task209-7e883491787742b6b65f40f82a8f303f |
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 wall would force crossers to take more deadly routes.
Output:
| [
"against"
] | task209-065e3f51800243eb89ce97f32b7a3986 |
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: Plenty of room in Israel for Palestinians to return.
Output:
| [
"in favor"
] | task209-250ad97e58c9477d8ae606782a692bab |
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: Ban ground zero mosque on grounds it does more harm to victims.
Output:
| [
"against"
] | task209-9949fd7bea6c4f179032ea0dce70085d |
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: Military recruiting wrongly makes violence appear cool.
Output:
| [
"against"
] | task209-b248343f28f54b9589d79f6af3ee345b |
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: Israeli raid on Gaza flotilla
Argument: Israel miscalculated on flotilla, but acted in self-defense.
Output:
| [
"in favor"
] | task209-2fc5194bb4e34ee2b1de012195a05a4d |
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 are likely to be abused by accusers.
Output:
| [
"against"
] | task209-9b01c29eeacb4fde995a25714aec77d5 |
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: Ending US sanctions on Cuba
Argument: Sanctions against Cuba have not worked at all in their long history.
Output:
| [
"in favor"
] | task209-f0db93df8eb34e9cbe9e606603cbf3a6 |
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: User identity is impossible to enforce on the Internet.
Output:
| [
"neutral"
] | task209-3e991e508a144917b736137ae755706d |
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: Earmarks
Argument: Earmarks create unsustainable institutional dependencies.
Output:
| [
"against"
] | task209-43198396484d44cb8bf8b7cf2d594abc |
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 drilling leaves a large environmental footprint.
Output:
| [
"against"
] | task209-e7b3f6e688814d1c9265461533e110f1 |
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: Catholic Church contraception policy
Argument: Undoing ban on condoms would prevent schisms in Church.
Output:
| [
"against"
] | task209-584729d22f7642338a28e8076d8d64de |
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 incomplete stub articles persist on Wikipedia.'.
Output:
| [
"against"
] | task209-c38504d05e794cb3bcf7a96463f34fe2 |
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: Cluster bomb ban
Argument: Over-armament with cluster bombs is threat to peace.
Output:
| [
"in favor"
] | task209-3d7acbe4d6554fd6a371f146f2111f77 |
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 sequencing can be useful and thus can be patented.
Output:
| [
"in favor"
] | task209-bc4296e0425d40999fbf2229b2a9178e |
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: Kosovo independence
Argument: Kosovar Albanians have terrorized ethnic Serbs in Kosovo.
Output:
| [
"against"
] | task209-5c4a991cedab4d31a9ee4ca525356e64 |
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: Free trade
Argument: Free trade promotes peace and stability internationally.
Output:
| [
"in favor"
] | task209-4a7b926d2be847b68e4404fd6c4ebf58 |
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 can destroy marine fisheries.
Output:
| [
"against"
] | task209-25b4f5a45f17451bae7fb22f05b1c72f |
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: War on Drugs is a good idea even if not winnable.
Output:
| [
"in favor"
] | task209-7166c922ca9148b3b41f466bce05cacf |
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: RBT has been successfully implemented in many modern democracies.
Output:
| [
"in favor"
] | task209-7578526e74974334a3ddda325bd9d0f0 |
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: The costs of NATO expansion are prohibitive at a time when the Western European members are scaling back their defence budgets and the reducing the size of their conventional forces.
Output:
| [
"against"
] | task209-1829109e305b49da8ca283f7d84bd9d3 |
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: Electing an EU president directly will increase accountability.
Output:
| [
"in favor"
] | task209-a7f7f54a867c4301a0fd7b608a4a97a0 |
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: Wind energy
Argument: Wind energy relies on subsidies, but just like other energy sources.
Output:
| [
"neutral"
] | task209-6f1f8ab4a5cb4bf3b601607a3ad5b854 |
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: Many libertarian feminists consider that prostitution reflects the independence and dominance of modern women.
Output:
| [
"in favor"
] | task209-73dcc351d65042b78224f9d5c47b790a |
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: NATO expansion can only lead to the overstretching of the organisation and thus the undermining of stability for the entirety of Europe.
Output:
| [
"against"
] | task209-97b0a34115be48cf907bcefc9a683662 |
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: Muhammad cartoons controversy
Argument: Images of Muhammad are forbidden because they lead to idolatry.
Output:
| [
"against"
] | task209-6566e06cefaf411daf47bf1702caa348 |
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: Superdelegates
Argument: Superdelegates provide greater mainstream party representation.
Output:
| [
"in favor"
] | task209-ecd2e7d432cf4c2dbeb6979b564cacce |
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: Most opposition to Turkish membership is unrelated to Christian club in EU.
Output:
| [
"neutral"
] | task209-0f595d6acec24dfe9cb153a42c9e3bfd |
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 missile defense
Argument: A European missile defense system threatens and antagonizes Russia.
Output:
| [
"against"
] | task209-51e223dce39c40c38cddc26c7930be78 |
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: Single-payer universal health care
Argument: Universal health care creates dependencies on government.
Output:
| [
"against"
] | task209-1235c16c3487420996597300095dcc62 |
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: Tidal energy
Argument: Tidal energy can lead to prolonged and undesirable winter icing.
Output:
| [
"against"
] | task209-1622bd9cd7c746ac953be7bb288b2467 |
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: 2009 US economic stimulus
Argument: 2009 US stimulus won't generate consumer confidence.
Output:
| [
"against"
] | task209-5a3facb8cb944c34a35e354d9e752afc |
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: Israeli raid on Gaza flotilla
Argument: Israeli raid in international waters violates i-law.
Output:
| [
"against"
] | task209-277b197a07f24b0ea6054c82055e8605 |
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: Underground nuclear waste storage
Argument: Nuclear waste storage requires huge state subsidies.
Output:
| [
"against"
] | task209-bb107cafd3534ad49b446795cad0b339 |
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: Mine Ban Treaty (Ottawa Treaty)
Argument: Efforts to clear landmines should be improved, instead banning them.
Output:
| [
"against"
] | task209-4ca8ca3e6534415bac6389facb961a2f |
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: Minority schools disprove perceived value of diversity.
Output:
| [
"against"
] | task209-e63689d217c047d6a931d14def3076e1 |
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: Free trade
Argument: Free trade improves the economic growth of developing nations.
Output:
| [
"in favor"
] | task209-1fda96a451914aaaa9014d2c525e2538 |
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: State has authority to regulate actions of drivers (by cell phone ban).
Output:
| [
"in favor"
] | task209-3b43b0830e2b4e519af889b1bfbf7c41 |
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: Funding for space exploration
Argument: Manned missions force space-craft to have greater weight-bearing capacities for rocks.
Output:
| [
"neutral"
] | task209-cac900290cd6414db10c21419dff21a9 |
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: Constitutionality of US health insurance mandates
Argument: Mandates create cartel of govt-supported insurance companies.
Output:
| [
"against"
] | task209-37e0699668944ebb9e6c8d2e86b7931f |
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: Polygamy provides wives with a sisterhood of life-long friends.
Output:
| [
"in favor"
] | task209-319072eb2a87434f83ab77bc5c7fed46 |
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: 2009 US economic stimulus
Argument: Majority of US stimulus is immediate to fight recession now.
Output:
| [
"in favor"
] | task209-415bf81ab8f842d0b2495d9b280f6490 |
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: Free trade
Argument: Free trade and investment risks rapid capital flight from developing countries.
Output:
| [
"against"
] | task209-50db56224ecf4d26bd4a50b3fc418815 |
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 capture and storage
Argument: The transportation of captured carbon can be very expensive.
Output:
| [
"against"
] | task209-3fb0d009fe9046f3a707ccf7b2d1441e |
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: Osama Bin Laden Sea Burial
Argument: Many Muslims would have preferred to see body, confirm death.
Output:
| [
"against"
] | task209-1941f0b113af4bdfb430f2fc1afa0191 |
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: Bush economic stimulus plan
Argument: A tax rebate is not a sustained, long-term stimulus.
Output:
| [
"against"
] | task209-1dbb9107b58d4678aeec06ccb20a01fe |
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: First amendment protects right to build ground zero mosque.
Output:
| [
"in favor"
] | task209-23d28ec2f3b5412ea0c0e5513f25dbe4 |
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: War on drugs keeps drug trade profitable, lures children in.
Output:
| [
"against"
] | task209-9abaf778e52d4ae5b59f2afd3fabafce |
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 will hurt small restaurants most.
Output:
| [
"against"
] | task209-b4964f47278f4e329209d229a599a68e |
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: Funding transparency for TV issue ads in elections
Argument: Anonymity ensures that arguments rise above identity attacks.
Output:
| [
"against"
] | task209-ca642cbbf5994dcf803299fcc9067f46 |
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: Legalization of adult incest
Argument: Incest taboo is due to evolutionary inclination for variation.
Output:
| [
"neutral"
] | task209-98b9253d250342ce9377fa8ed886e3fd |
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: Moral absolutes exist; murder can never be justified.
Output:
| [
"against"
] | task209-4826eefa38a54084b47fdab7a1c948c8 |
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: The European Court of Human Rights.
Output:
| [
"neutral"
] | task209-986beec88ddd4116b2a36bd1cb17b374 |
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: Bailout of US automakers
Argument: Bailout allows US autos to produce needed green cars.
Output:
| [
"in favor"
] | task209-c506231e7f5a4887bccbaa9fa622e4c5 |
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: Earmarks
Argument: Earmarks cannot be fully examined during short period of exposure.
Output:
| [
"against"
] | task209-af78dea6754b4b86961fdea5190cc5cb |
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 missile defense
Argument: Missile defense systems are becoming effective and reliable.
Output:
| [
"in favor"
] | task209-1f340f10773a4ab7972076f97f4b97f2 |
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 is just green-washing for profit.
Output:
| [
"against"
] | task209-32a588d26e63463eafa50af5e5258310 |
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: Direct democracy
Argument: Direct democracy is relatively cheap.
Output:
| [
"in favor"
] | task209-67dfc74ce71d419ca4f1e25909292507 |
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: 2009 US economic stimulus
Argument: Economic stimulus by government intervention always fails.
Output:
| [
"against"
] | task209-2f30b9a33fdf45f085ebd5c4c8064669 |
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: Public schools are being improved without vouchers.
Output:
| [
"against"
] | task209-7ee370864c0348529a4e77b61bd3197f |
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: Enhanced interrogation techniques
Argument: US prosecuted foreign governments for waterboarding.
Output:
| [
"against"
] | task209-6a919cfb199c4ce38e7c9621b3db49f9 |
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: Oil sands
Argument: Hydrocarbons required in forseeable future, including oil sands.
Output:
| [
"in favor"
] | task209-c6a23843bf9441eea7aa2b01be337453 |
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: Breastfeeding in public
Argument: Breastfeeding is best for the health and development of babies.
Output:
| [
"in favor"
] | task209-af08094eb1d84478b2d75406ad11d911 |
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: Guantanamo Bay detention center
Argument: US prisons are capable of handling Guantanamo detainees.
Output:
| [
"against"
] | task209-d3b3c4aa18c64cc69a35bd6748f87476 |
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: Catholic Church contraception policy
Argument: If people followed Christian principles; they would not contract HIV/AIDS.
Output:
| [
"in favor"
] | task209-9aa75189040f4e3a961ac569572d5d93 |
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: Patent licenses are very costly, impair R and D.
Output:
| [
"against"
] | task209-767edd6697854434bacd7dfa496e7640 |
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: The filibuster helps protect the will of the minority.
Output:
| [
"in favor"
] | task209-232420956ee6445b9b84563257edf25b |
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 vehicles
Argument: Natural gas vehicles have been around for decades.
Output:
| [
"neutral"
] | task209-9e0a9f2e53f34ff9be897b6efbd25d4a |
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: P-5 veto encourages strongest states to work inside not outside the system.
Output:
| [
"in favor"
] | task209-da0e62bd0dfb4b25994bd254ff85f1c6 |
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: Castration of sex offenders
Argument: Castration is better solution than temporary prison.
Output:
| [
"in favor"
] | task209-df912b4d9a024ac8bccedc99dc8b8b6d |
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 human reproductive cloning
Argument: Human clones will not reduce human biological diversity.
Output:
| [
"against"
] | task209-ea0112049789414f87a13f9c7fc3b493 |
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: Superdelegates
Argument: Congressmen shouldn't compete against citizens for delegate spots.
Output:
| [
"against"
] | task209-0147373a56964fe3aff6afbc54e374e2 |
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: Osama Bin Laden Sea Burial
Argument: Why give Osama Bin Laden a dignified religious burial?.
Output:
| [
"against"
] | task209-9bb4044dce3345a8984bddcccdc913f1 |