input stringlengths 937 1.27k | output listlengths 1 1 | id stringlengths 40 40 |
|---|---|---|
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-c7a2636c69a747df83ffad5f47fc238f |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-1b47e858aca74da7b06a3c63be3e4609 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-c3a3c1534bf94135a627c972f2e1941b |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-c81659224f0c488b8a0e772f6a1a51fc |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-a454552ea84340c0a040dce8deebaefc |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-8f9fb8a237034bb59de0cf61e8f594c8 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-d5780b6740d347b2bded0dd81dac9fae |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-1f41d2a9c6684c8d9dbd8a120efcbd11 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-58bcb898bbea4f99ae5295804eb65dab |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-257bdf422b714bdfa2a72ed28997d128 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-bf0d7a79e37e47d8a335d878d1d6d619 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-c07a2b7144ab45de872cf63562205e11 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-bda9ecf6cf254a03ac2bccf9881c2fba |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-2728d2fefee746809bf49519b2d04413 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-95055f8ced8e44949cfe7e9bdb514704 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-df1a685a92c048209306469a408fbfae |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-0d2c4d72f6e04d51b8ec9e33b553987b |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-18fbb12c66214eadb32067dbe52e5d18 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-3e03d6a0f071495daa8e25af33ef8c95 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-5cddc821a3b747119032927b9c998067 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-4f9009249d5b4d659106a6f7ab792df4 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-072442c52b76431f985493091ceff395 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-d75940e9cfea4e16855239ff758cc369 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-638c71dba31142309a6ea99e96976696 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-21642eee7d5941929a94614a8629b3bf |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-bdcf3c7674d646be89c77e9f5ff38a05 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-705443e7dfa54b1981189873b163203e |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-2d350149e54f4f6da26868aeca1dfe84 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-2c15c3497b28493fbb77651008ecfd20 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-6d06ff29bb51476dac47679b910bcc5d |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-f8b5434c3d8042b6b7a5da18219faf3c |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-bf8aba2ab10d4cd8809fce46a8b158d4 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-38559cb5abdc42f0b598cedb594f3050 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-aa6c722920bc4df99ec5deadd5855e91 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-fe2997f1aaec4550a1199d642b8c9da2 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-c93be46fc22743c7a2a8c90e5cfc2efe |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-823c596dd3f54bdc9ca57469cb6fd355 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-fe166e3e75ec4f90a1435094089ae5fa |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-79844d7f6e0c45dea3a9c34b077e7890 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-f178f4a364d04cbe92cbd3a02b5816d2 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-12fd9a40e28542ad81d3a432a6cf2150 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-2b9b1500abae47c19adc8c33fb7560ed |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-12a8c99d822a49fc8b253ceb0cd2839b |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-525dabee58db4b01a7479058c0cdbad1 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-c5a11a7ddb4246c5a43d6d459f69f715 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-0979c8a1561a499183f4450cf82dc9c5 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-085e6ee56ac24e97b7b307712b3e4f25 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-dec17925328b47e686ea60edb70184bb |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-092a079e9e084785b5730484e4552ce5 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-73f9879f6b264b62b8370eee2e72a151 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-439ca2633fda492e87aed476b0bea9e5 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-f428d9b61e0b4b98abe2fc83d65d32b0 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-f7750a25c80048feb0a0da93dbc71035 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-c0b38cc14de045fb8d75e153381656b7 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-d075a75dc5a4441da37a119342ed10e6 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-c7f1f2d6a27a40fbbd54769694a580b5 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-b8371a648d504a3a9336359887b65f97 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-f90e2bd3c35c44d3b2032d0e27ee4933 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-82210a82b2ce41a0ad5bda67b3ce3ff2 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-1d828e0ab10f4e588738790038f38dc2 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-c42328d9cc6841d4b3aeb75dcdbdf3f4 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-a4ff3a71070a4052aad67c1cff394668 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-5f7d1830957848a19296198f3e44f6c6 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-666131681d74463fbc7cfe8a705513fa |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-8de5e43496cb4833bdc3bec48d938381 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-963f730f577b47de85bac64fd3691377 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-c7bc7d2b52a34514a40201a24a8bf876 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-2601a0907c4245459174380faa66764d |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-461c6249794c49a39c7b3be6426ba58d |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-304723796bf14e2db495c2e96e4a77e7 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-51a4965c880e4f908c883afeeb353975 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-a32a26c17c794896becedc8fa25d0609 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-d0689e11b9ab448aa494c14cdd9db127 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-25be833d0ddc4738bd84233d570f98a9 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-3a9c191fab914f6b92c268531b9201f8 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-853333e67fc34b0b8b9618defbacf6e0 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-657369c57bbf457ea3e099850f649bcd |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-4a302b7be8e14cfe99670dcc635fd598 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-757741983b3e497ea16bb71ddeb39bcc |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-64b8971f92bd46bb9417c1c78061c835 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-412ae87de4f84b6a912dad6bf4e29c1c |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-d44799c1858b4aaca45305026f6716e3 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-6249da108a9d455fb2024219be91034a |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-46e564ffb70546aea751c2c114405990 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-24de003cac764daf9a85ac49ae9b5255 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-a819f04d283843998a1cbd01db1757e7 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-db911d663ada4b4c8cf0b52a97d000d2 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-cf9ca910399f45ada334e5722f17171d |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-bcf47dbef362472d986b15bc75766245 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-b38e4fb700ab41efa3ce0773eb9582c7 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-f6937acae826471196a9645b7c221eea |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-48c06563b6dc42ddba435e016a4f924a |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-f5a04a0825244709a64365501ceaff02 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-8bfefd18f0ae4dffb116e1999d1a15b4 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-fb6a10643af947498734b96ed3124727 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-94e37a1baf7e429ea3e15fe0e0effd18 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-83b62ee257bb4094866bf9cfbde1a051 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-2c82a14d45fa435a98ddcd9a41aaca9b |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"false"
] | task905-dcf029a364004c9f8c7747c65b58f7c8 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK P... | [
"true"
] | task905-86e7647b8c1046c98d5334474ae1ebf5 |
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