Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead
Paper • 2407.00066 • Published
input stringlengths 1.64k 2.63k | output sequencelengths 1 1 | id stringlengths 41 41 |
|---|---|---|
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-ee73d6791ef34cbea6f3ad8fa7f94eb2 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-6321a1b200f04d0c9d09296c6e3cb4ec |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-5de4dc26e4984ee88d916a66c0ddf9fe |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-766b4723c4624407b82524c3f6ac5be3 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-ce7932f59f924c659e96f37e58905d44 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-1faed9337eac4fa6b527f9c3c5ec3b25 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-e9ff0489c45a4a35942b8382ffb103b2 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-058ff3ddb2aa4fa09504311354a69a65 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-cff32c071f294ed8909cb6cf34b8a662 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-e06a68b1d2f045f785ffa8c03011b59f |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-681ce762ff5a48a9a803f0088ffe580c |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-21ef8142ec664c0c86dde330dae9348b |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-652d0ccd05444a3ca89c087ed096e853 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-3873f4d6501741f4a52ef9db9007364f |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-cfd146467216491b846cfc5f0b4e7356 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-aa8823deed1f459b954554b7d68d9d31 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-45f29f05ed36456fa7eeb5c8a17ca2c3 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-9a594c384f994ba08eb855e6d41a31b8 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-238c98909d194073b6b7c0010c5af4f6 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-fad6018ebc4348088ec2646f6ecfb564 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-b79dcda17b6144f3a5a41533b74a8bc3 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-a469a8bcf10547ed829ee746f3166bc8 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-b0d1033903144a63a1b91345e996f847 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-fb0e9af81df44c219980a7046a4a6340 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-928b578092b740cabdea21152c944300 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-d5a47547187f4539abcfd538512d3501 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-23c5b825985f485eab1aa0241bf74b61 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-e6cdc6edda60480d9334f9d05644be04 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-407ea02e7e554aa4b14775fe0798eb3c |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-0544dd12e92348b3affacf46e4aac5d9 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-b37470cf929947ca8b7f0b59c7478eec |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-da309e50f7d0429f805268c673d9484f |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-50731b0e39e745c0aff57facde9c9bb5 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-e92fcd6b08d64c8abe0820e7efda1d01 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-4f90f9c7f0564033a43f9aa91584944e |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-69a341453f214b2cb26fa95eeb192e84 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-d4c5b58adfc6479a99d4488165315755 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-31efcbfa350e40bfa19364b86c329af4 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-ac31427117f947bc98f3dc82f8400cfb |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-db81cd3fddb9410d9940c1c468107a27 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-2479200f77614befaf95200eea892efa |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-26fb1e1e78c4463cb32297d5d108fdbe |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-93cdbb4e498442bb8da1ac0d6569da15 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-83fec2ecc5dc4e9b8aed7b31f2ec1bcd |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-21239c3c404646c0aee7b77649646c57 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-8ddee6c26699416e915789a800fff051 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-3e13fa5cb91a405a957fdfbdd4a74f16 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-6cb4c2792a0748caa80b40432dffcfff |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-e7f7632d3558465bac3043e39904065e |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-a6d8c486a3994abf8337c86f5073440e |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-5b02385515be42b090a710eb5235f41e |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-ec03bd801da14f7c985fa76b08259bfb |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-550b9dedc7f44bc484d6f36d3d224049 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-b474fbd8dcd6426abcaab8f535e4d641 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-a1760e10e225484eba6f7a8452044796 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-6ced3686291643a49a80ad992c7f9bd2 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-d5a5296302fb4d53ade1e3a09154c5f4 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-512c667cebcb49229da3f95900d71541 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-3a13a40455784ad897ab7c3753595e02 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-b34551fee7c34c578a236172860a263d |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-5bfc3df8df1a4824b8c6cfef39c03fb9 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-9701a063ea11409aad509af69ca6d151 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-8c1377d786e1439aaebe6b72d94597bc |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-52cff21f64564395a1e06b605604716f |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-98895b9c4b474b75ace8b2a51e4d921d |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-0243d188cc6b4d71ab3707492b4d3c6d |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-6de1fd99d4f34d2f9d9649e1ccec1673 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-62de9bb91110491f9a75c76d0cf49634 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-9a38f0c69d884d6c950247a1d5825b72 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-626341b9c8404aae921a3dde00f3b200 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-83fc89aa4ff9464c9a1c6fe189b3a1f7 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-9c119d14b41d46eb9b034152f1e696b9 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-b0458badafe1489bb154bb7073a5e0b5 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-29508a3aa6dc4d01ac4a1aea4e30b83c |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-60fe190a80874223bff74db33afe9a75 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-27c156bfb687430fac0b648c6f3fe29f |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-a72b462f0f9a4517b72919695aaedc5d |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-e04cd2e0480d456e9d043169f495487b |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-ebac20ea848f457eb091a955d8b150e8 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-33ac4292bdc74c1a9e7ee36c818d2984 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-903d9ad3849c44059b2517aaf21e3ea0 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-63ae592463ec4fb180539e0f6430f7b0 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-037229cc36dc4f1da8325742c3ac31a7 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-46c1263c68e54effafeddd55d7aaac93 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-edaab5dfb37b47678ff87107cc0df4bc |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-d37eaef9b9f54447b8954b6cc9920ff4 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-e4e7e6d4f73f43de984a50676f6e4c63 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-da86059ff02d4f529356ed2a2e5e0456 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-77972d0783294e6d880c1bf022427889 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-0a53b324d5024e7ea3d4d0c0622585a1 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-49d876ef93974c2ab2a37b9a82245b21 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"Yes"
] | task1725-29f09af287194a7fadbd046df607835b |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-70a77d4847874fa684bc534788121b20 |
Definition: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Positive Example 1 -
Input: First off IDIOTS HIS HONDA IS NOT STOLEN I HAVE THE TITLE SIGNED OFF BY LAST OWNER IN MY POSSESSION.2ND THE ONLY THING HE WAS IN TROUBLE FOR BEFORE THE CHASE... | [
"No"
] | task1725-1620d97b88f046cdb6ddbe479e529ac8 |
End of preview. Expand in Data Studio
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1725_civil_comments_severtoxicity_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks},
author={Yizhong Wang and Swaroop Mishra and Pegah Alipoormolabashi and Yeganeh Kordi and Amirreza Mirzaei and Anjana Arunkumar and Arjun Ashok and Arut Selvan Dhanasekaran and Atharva Naik and David Stap and Eshaan Pathak and Giannis Karamanolakis and Haizhi Gary Lai and Ishan Purohit and Ishani Mondal and Jacob Anderson and Kirby Kuznia and Krima Doshi and Maitreya Patel and Kuntal Kumar Pal and Mehrad Moradshahi and Mihir Parmar and Mirali Purohit and Neeraj Varshney and Phani Rohitha Kaza and Pulkit Verma and Ravsehaj Singh Puri and Rushang Karia and Shailaja Keyur Sampat and Savan Doshi and Siddhartha Mishra and Sujan Reddy and Sumanta Patro and Tanay Dixit and Xudong Shen and Chitta Baral and Yejin Choi and Noah A. Smith and Hannaneh Hajishirzi and Daniel Khashabi},
year={2022},
eprint={2204.07705},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2204.07705},
}
More details can also be found in the following paper:
@misc{brüelgabrielsson2024compressserveservingthousands,
title={Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead},
author={Rickard Brüel-Gabrielsson and Jiacheng Zhu and Onkar Bhardwaj and Leshem Choshen and Kristjan Greenewald and Mikhail Yurochkin and Justin Solomon},
year={2024},
eprint={2407.00066},
archivePrefix={arXiv},
primaryClass={cs.DC},
url={https://arxiv.org/abs/2407.00066},
}
Contact Information
For any comments or questions, please email Rickard Brüel Gabrielsson
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Homepage:
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arxiv.org
Paper:
arxiv.org
Point of Contact:
Rickard Brüel Gabrielsson
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