input stringlengths 883 1.09k | output listlengths 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 Examp... | [
"in favor"
] | task209-a74670ded9154c71bad9d456068ebbc8 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-686810c536cc46c0838afde6f794bad4 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-0d8ddd5027ed42f7a09e890061ea8e78 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-19488eaaaae54275a310c926bb36f38f |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"neutral"
] | task209-c130197662cd49c8abbc27dbabbdbfda |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-9a6791111ad641eb8da452b55ff948e0 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-18d15fc27b16421782c8e50897301562 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-4d1ca521553f46d0942e28b2613cc508 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-352e31233fcd45068669916a03a3162b |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-8ec3ff1c7dba43ce805950e753ff1ad6 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-217d191fa5b04c2db114bdb0201e7b76 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-725d576776af4f03976df6d59e7acfc8 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-431622ba3b4a48f4bd6554bdd12ff465 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-d0cbb625666e4082bcc19d86296ad7a0 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-7fc7bdf7a2ed4285b4fca4b2f83f4c12 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-c5986b7e3cb840fca11c716c21474792 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-4a44139c55d84ef6bfb1c304f3054404 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-b657a72d593e4e68abaae6cef621ac93 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"neutral"
] | task209-4f338b01045d41f19f33981986ab8e6b |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-023d61281a1745ee8dfcaa610f7da59e |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-f7d517ddb9e749dd85a2dae1dd9ae839 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-c098ad3c94684e82b734cd52ad9b72e2 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-23995ea5c9154ed6993770c4ada0a5bb |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-5f8b6df243924a67a3bfc88a00525cb2 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-90c174950a2b4899b2fc9560119a7197 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-10ab4bde95a44a99ba3ff90100218675 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-95341b252a5b4d50ad9569d0cb086a64 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-97bcaa39655a4b298ea2610d6e76a12c |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-6d1a9ef89f8647a7b3acdaa41ad3f4ea |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"neutral"
] | task209-082d7afe25414d8e9b40aae935fa9489 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-34edf459817e4ed488ef4a339d10f395 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-64a50dfbe3c44273b9ff03c99081287c |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-eb65a50f5df3465bb8df945a29323316 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-8668696b98d14642b1d01c0b902ef84b |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-1d2312723ba5486aaa6a24c8724e8047 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-fe65194d75ba4ff796d28aec543db201 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-a2a88f97d670480eb688621c68061add |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-939837f64ee8401889fa8c3ef7354fc1 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-efccdf7556a54a5897d49b47ea5e2f8e |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-90ca79905bea41ef9d297ade2b2370ec |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-c19f87b7d8e8445ebd3e799479f1b1cb |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-a5f49c3b56984d1994adcfdb905378e5 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-32b9d42a15684059942e3b3bacf9ce38 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-7f1760e25c7f4358849b7e7c69b47b2b |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-c416daf2cb5c4e5eb367e7034bbf1958 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-b28d587aa03744f5b038d53093fcc9a4 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-3401f3b54044409aa64acf8252807d32 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"neutral"
] | task209-60920954e6804c44a72b3ba8b539f0fa |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-18d0618f824f48b99739b7872fb4ca5c |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-d0b08e4efd184fb9a189acfe72d25c73 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-38c732b5858649329a8e108d1d3383c1 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-1a385917e42c4f429ef965e3abb3a654 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-5c137175da9d4bc7a80f786cf3580e54 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-b95406b5b1864b85804996a08907617e |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-4fdeeb435bd44e97bf2b9341ec812e60 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-18dcbc4f0fd7401895c8209a01d572d0 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-7f0fe14cc4584192959c41d8f2a9b4ab |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-5bbf1b662ef7404db4f926b16585c63a |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-a45c984613da40e18574521722e8a0dc |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-f681b334779e42afaba0ddab90f6eab1 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-89fa1ee914da454f97ec43f9d8cb048d |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-a225e3541d33474d8373fb3b67665ca4 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-b3614735b66e4a19aaedeeaaf3de8685 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-8945b58cf6ba41b78ce4ec366071450a |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-cdb1ec86290b48b2bd74322fc6e2b06c |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-93772d662d604e5fbedd0fe15c5cd4d2 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-4e848337d778439fac371e911635d716 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-ba0175bcc4a8462ea977af366df70cc5 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-69f27f81e81645d1976e7440f8d6d94b |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-73574fbffacf4835942e88f2f8301aa6 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-06b35854064a4149a3bc74c8e165f544 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-e4377a93207849a089f903f70d512def |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-3ff0a03727c34901868936899c70f970 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-3ebd242783db46228647cb9960b6a062 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-dcc598ff596240f0a57e4d550fcc53fd |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-ab20556a1b5d4c38b6ea2ddc565e2b9d |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-5c5a092607a849feb673e4bec2c9f1b8 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-0474f2851c56468aaa5e8fe1ef7d3feb |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-36350957a21e4a45bba5cab3ef9f8cae |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-12b3a4d4a7d04435b1846082923b5108 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-5dba4ba3d0934be295e523f553d1220c |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-da658adc13604027b78fcef2d4e4a9be |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-aae051a5015a4b0f812d9b02c08ed0b0 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-c4403a41039a4031803ee444cb099e28 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-ac9807aeb74c447b8bced2dcadf9da4b |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-496220a73b714e698685ccbe1a973f2c |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-5f7c5aa3571343b4960bb8c8d5a222f1 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-bf0115e5b00a4d13b78720342d917e80 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"neutral"
] | task209-e89a2c7b069540019110dbea00fd10a9 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-09f3fa34ddff4709ba75cdf7f6c3d89e |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-ce485dd27bba405691d2ff82ebae120e |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-4d08b184c11f49d89930e15155956be5 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-de0ff39fa44d4b15bf19454250091e01 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"neutral"
] | task209-a98c815f19344e2d89d1be46f100ec2f |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-094f1ebdf1f64946b83b2fb1e2315cee |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-fea28b82a2094aaa89c71ac3cf612956 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-179042d0c3f24379afd0506a619a43b3 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-4856ecb5f50d43a394e4f9dd0fc4c501 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"in favor"
] | task209-19e9d0a8be20415fb883df88fcea6e63 |
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Positive Example 1 -
Input: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Output: against
Positive Examp... | [
"against"
] | task209-0fa2b206d6294a71a6d08681a11ad1ca |
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