input
stringlengths 883
1.09k
| output
sequencelengths 1
1
| id
stringlengths 40
40
|
|---|---|---|
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: Recruiters there to persuade, not provide information.
Output:
| [
"against"
] | task209-b2b34a736b8e4d4aa2094c4dc0db7733 |
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: Network neutrality
Argument: Net Neutrality may restrict value-added services.
Output:
| [
"against"
] | task209-500f2e9d459546d1b053354c1284cfd3 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Law school
Argument: Law school educates for wide-ranging careers.
Output:
| [
"in favor"
] | task209-2d651135c23f4fe0ac9f8f2efae9bd12 |
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: Anonymous funding of TV ads runs against principles of free speech.
Output:
| [
"in favor"
] | task209-6b617311b477457d98eb78cb76dfa088 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Lowering US drinking age from 21 to 18
Argument: Many states allow under-age drinking with parents/spouses.
Output:
| [
"in favor"
] | task209-2bc1ed3e6129467fbbb8e24aa52c3983 |
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: Legalizing drugs would improve quality control.
Output:
| [
"against"
] | task209-ec15557715574fa9a65d919757139744 |
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 a great alternative to the public option.
Output:
| [
"in favor"
] | task209-e0f9921ee4aa489bac24258660abd1ce |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Privatizing social security
Argument: Privatizing social security helps the poor.
Output:
| [
"in favor"
] | task209-38400d0f84cd4948a3130d1f08f1259d |
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 Muslim hijab
Argument: Muslim head-coverings help keep women safe.
Output:
| [
"against"
] | task209-253022653eb749a28bf7db81a04e6690 |
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: Beauty pageants are not good for a child's confidence.
Output:
| [
"against"
] | task209-9bfccfb318b143ff9355a01d12dec25f |
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 are not inherently bad; some are good, some bad.
Output:
| [
"neutral"
] | task209-3c8a03cdbf0a4fd9a0c479262c0d71ef |
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 can damage habitats.
Output:
| [
"against"
] | task209-eb03861a7fd4420ca4d54ffbd78bfac2 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Geoengineering, solar shading
Argument: Geoengineering concepts dampen public will to cut emissions.
Output:
| [
"against"
] | task209-be21ecf3cee84c4a846b43f820eba11b |
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: Water-boarding is drowning, not simulated drowning.
Output:
| [
"against"
] | task209-aecd7e8ededc4ea087f8e96454d53644 |
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: Tunnel will increase traffic in pioneer square.
Output:
| [
"against"
] | task209-8100a9a01e764433b6ab6040cbdfae60 |
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: Insurance mandates set dangerous precedent for federal power.
Output:
| [
"against"
] | task209-f55418f0515949afa23a2a6980d44187 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Full-body scanners at airports
Argument: Full-body scanners will slow airport security check-points.
Output:
| [
"against"
] | task209-116f3ff4de1040dcb79560bc5ff13d6f |
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: Withdrawing from Iraq
Argument: Sputtering Iraqi economy requires indefinite US presence.
Output:
| [
"against"
] | task209-c0c4e9fc7bf24ca8b335817b0ad66b0d |
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: Diversity is supplimentary to goal of fairness.
Output:
| [
"in favor"
] | task209-1ddd031930c3403db9a1ce8c8969a4ea |
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: Govt should protect consumers when consumers aren't fully informed.
Output:
| [
"in favor"
] | task209-5c598c49a21c4270b6d769aec8845a2e |
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: Repairing tidal energy is difficult and expensive.
Output:
| [
"against"
] | task209-133b55dea5bf414a9b21d06e000128a8 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Carbon emissions trading
Argument: US cap-and-trade in sulfur dioxidew was succesful.
Output:
| [
"in favor"
] | task209-788597b390f34c578edbfb1298f1364b |
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: President's action in Libya violates his campaign pledges.
Output:
| [
"against"
] | task209-ea5d9fd7f84c44639cd7280ed38a821a |
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: Medical marijuana dispensaries
Argument: That marijuana is herbal does not mean it is safe.
Output:
| [
"against"
] | task209-82656956595f489eb43626319a0ed7c0 |
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: Beauty contests can boost a child's self-esteem.
Output:
| [
"in favor"
] | task209-a2fbb8d5250a494ea1c27e1b606198ad |
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: Electric vehicles
Argument: Electric vehicles are more resilient to price pressures.
Output:
| [
"in favor"
] | task209-43122e6067aa4e3ca79082eb925cb7a6 |
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: Obama, meeting with hostile foreign leaders without preconditions
Argument: Unconditional meetings wrongly legitimize hostile leaders.
Output:
| [
"against"
] | task209-1936ab7a73ec4b8cb0e81f3da15c4912 |
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: Cellulosic ethanol
Argument: There is not enough land too grow sufficient cellulosic ethanol.
Output:
| [
"against"
] | task209-8aa83cce29df452488f906188e6cbbc0 |
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: Human-rights abuses do not inherently accompany dams.
Output:
| [
"neutral"
] | task209-78e07a1bf27d4a7595c6e8609bd64a1f |
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: Restoring American Financial Stability Act of 2010
Argument: Goldman Sachs fraud case highlighted need for financial reform.
Output:
| [
"in favor"
] | task209-d194d4ec31e743e19e2d166d0dbdb686 |
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: Tibet independence
Argument: There is no international consensus on the rights of nationalities to self determination.
Output:
| [
"neutral"
] | task209-1bded36782244bdd93cc3823c9e5ce08 |
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: Veal
Argument: Grain diets are rare in veal because it produces tougher meat.
Output:
| [
"neutral"
] | task209-53fccb3bad1f4fa4bdfe4b30d73d9548 |
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: Compulsory voting
Argument: Mandatory voting compels voters to better educate themselves.
Output:
| [
"in favor"
] | task209-c8ad812ef0ce48f0b6d3082b7eb0bfec |
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: 2010 US bank tax
Argument: 2010 US bank tax will kill jobs created/fostered by banks.
Output:
| [
"against"
] | task209-93b76fbf086b4e9fb81f9bd862fb3595 |
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: Attack ads are a part of politics, but sources must be known.
Output:
| [
"in favor"
] | task209-09da989de54d4fe4af242b85296681f5 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Abolition of nuclear weapons
Argument: Nuclear weapons can not just be simply destroyed or dismantled,.
Output:
| [
"against"
] | task209-0c0afd33f68944709e70a0ea6b55989a |
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 builds cultural awareness and respect.
Output:
| [
"in favor"
] | task209-1ff63e6b118a4255a9949354718a74c1 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: $700 billion US economic bailout
Argument: $700b plan and intervention in markets worsens problems.
Output:
| [
"against"
] | task209-345fd672639343cfb51283bed01fae89 |
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 favors corporate interests over democratic processes.
Output:
| [
"against"
] | task209-be6db836edb44de7a2079766f28c6586 |
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 will preserve place of autos in American identity.
Output:
| [
"in favor"
] | task209-d6a88618caef4198a8d033718808f601 |
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: The implications of the DC handgun ban are not supported nationwide.
Output:
| [
"against"
] | task209-76dc058929be4e9e9d986dd59107c13e |
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 violate religious free speech.
Output:
| [
"against"
] | task209-94458147f5c24235999bed0f2415411b |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Corporate personhood
Argument: Corporate personhood protects businesses from discrimination.
Output:
| [
"in favor"
] | task209-56f44fd6d8054a1d85489c4de81187e6 |
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: Hybrid vehicles
Argument: Hybrid vehicles reduce noise pollution.
Output:
| [
"in favor"
] | task209-c02445da0a1448cabf478151df8524e0 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: MBA
Argument: Getting an MBA later in career and life is fine.
Output:
| [
"in favor"
] | task209-00f52c34cd6940a28a24952ada80a45f |
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 avoids a disastrous default.
Output:
| [
"in favor"
] | task209-e7f4242dcb9449b98bfed55d80b9b8a7 |
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: Falkland Islands, return of
Argument: The European Union classes the Falklands as a special overseas territory.
Output:
| [
"neutral"
] | task209-3742f06de15c48a083dd66f58a32d9b7 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Public health insurance option
Argument: Public and private insurers can learn from each other.
Output:
| [
"in favor"
] | task209-3e9b2d21cb2c4994a07c88f5172c5ccf |
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: MA insurance mandates are performing pretty well.
Output:
| [
"in favor"
] | task209-a480026470094f85807f7827d50d517f |
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: Signing cluster bomb ban enhances international trust.
Output:
| [
"in favor"
] | task209-2bed920072544f32b30885bf02bdf496 |
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: Publishing images of Muhammad helps combat self-censorship.
Output:
| [
"in favor"
] | task209-75afab5bfbfd414dab9d2577c33a8e06 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: No Child Left Behind Act
Argument: No Child Left Behind lacks non-English tests.
Output:
| [
"against"
] | task209-c4fcbbcebd3d4f179486993bc401652d |
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: New START Treaty
Argument: New START is important to medical health.
Output:
| [
"in favor"
] | task209-afe5dd48dd504fd5a2e8b777dcda86f5 |
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: Needle exchanges
Argument: Needle exchanges protect public, not just drug addicts.
Output:
| [
"in favor"
] | task209-c1f7cb5138ac44348c06bba0ceeb40a6 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Fairness Doctrine
Argument: Free speech requires boundaries, such as Fairness Doctrine.
Output:
| [
"in favor"
] | task209-08c2d72348ad4775a67212f43dc45836 |
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: Kangaroo culling in Australia
Argument: Culling Kangaroo tarnishes the image of Australia around the world.
Output:
| [
"against"
] | task209-4ac3e05e9c654544a601ff258473ea84 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Deporting illegal immigrants in the US
Argument: Trail of Tears demonstrates injustice of mass deportation.
Output:
| [
"against"
] | task209-1b0acbff70da4577b374fb647deab554 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Republika Srpska secession from Bosnia and Herzegovina
Argument: Republika Srpska secession would incite Bosnian Croat secession.
Output:
| [
"against"
] | task209-8a4347b4223842f1866eb529c3222edf |
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 vuvuzela horns at the 2010 World Cup
Argument: Fans can be trusted to use vuvuzelas safely.
Output:
| [
"against"
] | task209-408b5eb00e5e43308ce24a31cf883546 |
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: Medical marijuana dispensaries
Argument: Smoking marijuana impairs the immune system.
Output:
| [
"against"
] | task209-d24166ce139040569cf9381ac9d41085 |
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: Kangaroo culling in Australia
Argument: Kangaroos are the cause of costly car accidents.
Output:
| [
"in favor"
] | task209-1fc76d9100dc43c489055f26087542d0 |
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 engines are as efficient as gasoline engines.
Output:
| [
"in favor"
] | task209-daf68d6b501548e68b1311b96c9c45d6 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Ban on laser pointers
Argument: The Government is working to stop black market laser sales.
Output:
| [
"neutral"
] | task209-c4cd3c19d71141ada217159ed63db536 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Geoengineering
Argument: Geoengineering may whiten skies, harm human psychology.
Output:
| [
"against"
] | task209-8f9265e4b9904dec9416b4818f5a1155 |
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 eliminate forests that absorb CO2 from the atmosphere.
Output:
| [
"against"
] | task209-460a263bf8c844dca6ef3696312b50de |
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 uses sophisticated persuasion techniques on kids.
Output:
| [
"against"
] | task209-81482e9cbcff4a0388723d0dc883fb50 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Graduated response antipiracy laws
Argument: Graduated response helps avoid litigating against consumers.
Output:
| [
"in favor"
] | task209-a27c8d9bcd554444b6c08f6dae97702e |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Charter schools
Argument: Charter schools promote teacher independence and character.
Output:
| [
"in favor"
] | task209-1c64d8f1109b4be3a7998562adddea1b |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Gay adoption
Argument: Homophobia is wrong so should not be used against gay adoption.
Output:
| [
"in favor"
] | task209-2b20c8d8229e471a83d16f14946a0a78 |
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: Individuals must cede some rights for safety, including right to prostitute.
Output:
| [
"against"
] | task209-ebc0b603972e40afbdf359ccb8b396cc |
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: Network neutrality
Argument: Net Neutrality is a solution in search of a problem.
Output:
| [
"against"
] | task209-19e19c7b4e3d490c901a62eef3338770 |
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 drugs
Argument: Drug-use does not directly harm others, so it should be legalized.
Output:
| [
"in favor"
] | task209-74943c03b69146208215a6d3c4b1aa41 |
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: Hydrogen vehicles
Argument: Hydrogen can decrease tensions over oil and promote peace.
Output:
| [
"in favor"
] | task209-0231dc4ed53c43158b7139b927450d8f |
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: Was the War in Iraq worth it?
Argument: War not worth roughly 100,000 Iraqi civilians killed.
Output:
| [
"against"
] | task209-596c3f34cb9b49e781d40c5753ac9c05 |
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: Animal testing
Argument: Alternatives cannot replace animal testing for certain objectives.
Output:
| [
"in favor"
] | task209-077235cccc394b5ba80985f03bcbe784 |
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: Puerto Rico statehood in America
Argument: Puerto Ricans have earned statehood through support of US.
Output:
| [
"in favor"
] | task209-6f19326bd6f949e79d774f1fbfe91497 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Election of judges
Argument: Lawyers may fund judge campaigns to influence trials.
Output:
| [
"against"
] | task209-80d1b09c8fdf44228422d56a1036261d |
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 parenting is just as good as straight parenting.
Output:
| [
"in favor"
] | task209-3239edb74b804666a5ab78590a593cce |
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: Home plate collision rule in baseball
Argument: Home plate collisions can be easily banned without changing game.
Output:
| [
"in favor"
] | task209-c944f1d1a5c742e498490d5f5f7b1d1f |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Gay adoption
Argument: Children raised by same-sex parents are not more likely to have same-sex orientations themselves.
Output:
| [
"in favor"
] | task209-991b81814173490b8ba0968634879cee |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Vehicle fuel economy standards
Argument: Fuel economy standards increase car manufacturing costs and prices.
Output:
| [
"against"
] | task209-2c538365c9754886891a38299140bbce |
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: Comprehensive Nuclear-Test-Ban Treaty
Argument: Fear will cause nuclear proliferation, despite testing ban.
Output:
| [
"against"
] | task209-32c206b3611341b59b3cf2c6083da23c |
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 is an important first step in the right direction.
Output:
| [
"in favor"
] | task209-802c3ab352074dbe91bd94ebbf3691b5 |
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: Corn ethanol
Argument: Making ethanol from corn does not deprive the needy of food.
Output:
| [
"in favor"
] | task209-96326bc5fdbf4d3ba897caa57e31aca5 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Charter schools
Argument: Charter schools can destroy valuable neighborhood schools.
Output:
| [
"against"
] | task209-40fae590b0ea4a97928047a56df87bdc |
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: Interrogations are not torture when no intent to torture.
Output:
| [
"in favor"
] | task209-c5387d678c884e20a8b0532cd9be2855 |
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: Pickens US energy plan
Argument: Pickens Plan requires infeasible electric grid upgrades.
Output:
| [
"against"
] | task209-861cd15f136d49de989b876b47d0dfaf |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Mandatory calorie counts on menus
Argument: Calorie counts eliminate ability of restaurants to be spontaneous.
Output:
| [
"against"
] | task209-771cf031f328479d818735de07dbe95b |
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: Reforestation as a solution to global warming
Argument: Reforestation can immediately reduce atmospheric greenhouse gases.
Output:
| [
"in favor"
] | task209-1a85df0c13094a9d97d3285c62834fd6 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: MBA
Argument: Total cost of MBA (including opportunity costs) is high.
Output:
| [
"against"
] | task209-a0ced8617132443e8f73ee065dfd9105 |
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: Sending law-abiding incestuous couples to prison looks bad.
Output:
| [
"in favor"
] | task209-63ff55778eb34fc99ae1f584102f29b0 |
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 in high schools is not essential.
Output:
| [
"against"
] | task209-0dd23e12234e4557bbab33ba721b4b0c |
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: Underground nuclear waste storage far superior than status quo.
Output:
| [
"in favor"
] | task209-fa50ed31fc664cba85cf7e68bdf2f997 |
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 settlements
Argument: Settlements undercut Palestinian rights to land.
Output:
| [
"against"
] | task209-478be3fe74874ee28982c498b97dee69 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Election of judges
Argument: Elected justices are corruptly influenced by campaign funders.
Output:
| [
"against"
] | task209-cfbae4d0e5604f188514ef739553cf0c |
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: Driftnet ban
Argument: There is a ban on the use of driftnets in international waters already.
Output:
| [
"neutral"
] | task209-ad54a4d034aa4db28fd91103be989403 |
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: DREAM Act
Argument: DREAM Act offers citizenship to youth already Americans.
Output:
| [
"in favor"
] | task209-af6af3b995564b4387d0231bf43e5bbf |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Merit pay for teachers
Argument: Teachers should be paid more; based on merit.
Output:
| [
"in favor"
] | task209-bed8b16382264fa78a2afdab29652a86 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Example 2 -
Input: Topic: Two-state solution to Israeli-Palestinian conflict
Argument: Idea of Jewish state, in two-state solution, is undemocratic.
Output: against
Negative Example 1 -
Input: Topic: Single-payer universal health care
Argument: Whether health care is a right under i-law is inconsequential.
Output: in favor
Negative Example 2 -
Input: Topic: Carbon emissions trading
Argument: A cap-and-trade system is progressive.
Output: neutral
Now complete the following example -
Input: Topic: Big government
Argument: Big government helps stimulate economic growth.
Output:
| [
"in favor"
] | task209-fea53aaa499441c7bbd13ec6b2533ff7 |
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: Deal far less damaging than default.
Output:
| [
"in favor"
] | task209-031270a05ba7484aa331b044c3f43b70 |