Datasets:

Modalities:
Text
Formats:
parquet
Languages:
English
ArXiv:
Libraries:
Datasets
pandas
License:
Dataset Viewer
Auto-converted to Parquet Duplicate
input
stringlengths
794
961
output
sequencelengths
1
1
id
stringlengths
40
40
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-ce5e9aa04d82466ab7afb1386446ebe9
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-a39725ee2d8d42f88bb741e9013fee9b
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-d0e159b0c3804e8ba7d8fbe077c2a809
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-3e2732ce83a14b7da72936c9451577f5
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-57fd0bdb1d0446179c112d1756da7058
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-cdbdb864de894d47823a6bf332d35fe9
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-b14355c15a154460a70c5743c87e84bc
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-222f37ff99ed409085e43626b0197eed
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-58dad0dabd894944b169a76607ce6938
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-a2c708e93c6c44e3942a6b1e0e907c40
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-905d9e8f0d9647668e7f535acad8c4fe
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-93c1d68eebf84ec29b1b51b536074bfc
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-8881bf3d477e43a9bb5a164a833ba239
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-716bbb008dc14137947e41876773c27d
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-d645461339e143d1ae2e59c3daab5d16
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-1f9394df50a440469c41623d5d18235b
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-326640608b4d4dedb7bbdce54bdea693
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-86a11597ba8045a5a6c5be3d7ff25de2
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-151106f7779c49d1a44a758ddbfdee7e
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-3d8b17ab9ae54a1eaac967ffab7593c5
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-383e7bbd3fa242dd90778d7f4528f2bc
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-60b46762245d4e4da6e7b33e28f58c8e
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-291e45d3645c48b488d7d41eb08b3616
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-b94f32f44de04fc5add25e1bbcedc5de
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-f9135249028446108a88d89b3556388a
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-08641fb3a3474c19b0dde16814000a3c
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-8d7d8f4485814ec38cb85e199ae767cf
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-7e74975bb2d648bfb14018d2de2e65da
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-e84b6d569a2e400b9793effcd8725228
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-dccd1c9da7dc4576865de7da1ee1e96e
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-6b7e73a7e7254f269e5ccf57c847d343
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-3984524d35b14dc7b848ecc4bee7a4b6
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-3fedf8c7889e4b4bbaa1c3b187bad96b
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-818777c19d544bcab99be911fe035127
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-4270732ed1ea4b0aa3f490a30ec78899
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-2ff47d7e3de34d9bb564a101d13a5f95
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-b900600e12c34542b3a6de44d30a4a3e
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-9b40f592683d44bfbfa5840e117fc0a5
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-41480ecb2f0042b0b14121144ff5198f
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-a5ab61d7e3234da29118929474138f00
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-56bd44ecc8844ac9b5c47760aee694bc
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-fc052e286dbd4c8ba76620b51651c230
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-39def3c52da04e4ca14db87598ad25f7
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-0c2acd0d1df246669d2922d466d2a343
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-b4895c03b99942fda2c74cf445b7f322
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-6c15116cbfcf48eebebfb2b0aed08b45
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-1525c0761720472198c5731d9422ef4a
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-b86efdbbcb724ba8bece33d8639d25f1
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-9a2b26becba84e15b7dbedca10348fbf
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-1413aba7246b41e4b044f07a5bbc750d
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-4034da6f673b47ab9b68ef6ff0aeb27a
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-a3b2feaba89c48ab897b15b5b56df492
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-6c15d6241df74409b7aefc927a6de615
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-68bd408bac1b4720999d40805300a20f
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-29f03c0419b647b99f6e6977f3157ca8
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-2fdd8e43624649f2a3b042dd81e4a571
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-381716f00fb14ec190183a397812fdd6
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-c90f6233f3a84408b6c8e81974c7d661
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-3c4aaf8f78094a86859b734620108472
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-b89c284d9c4246ca88722fd91a7a008e
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-b6ba78d3dfdb42a7bf171bb8aac0c833
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-22c0045c921e405aa40771e39936cad6
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-7f2cd5190f214e43985927ee7659af0a
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-b0a04084bcae4eafbaa26faa97d5ff41
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-485a602321e64f6584aa5383f2002994
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-ff40913b33074b9785d641ff6a08a526
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-a145e34bb05944fa9ca0d93bf1dc5a8a
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-c583e5bf662f48039d943e36cafbfcf7
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-e285e166b88b4fc7b7cad8146ca3e14e
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-b101ad06834a448c8b40ff1bc34adfc1
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-9dcd56c2b8cc4e5082e9eaccaf9083c3
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-4140850441394ff3a5aeb03aacc22300
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-2c57994106404f37bfef67593ec5e57a
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-cfcdd8e06d024679a715681bc9269be9
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-2b86ba277a0c459dabedebc2c75a9b58
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-667e746504e34946a420a4ec83b23c00
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-55934ee0d0244abaa07507acdb332415
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-411888e6d408447a868e580cd49035f6
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-bcae1811d74e409486d55c66dfe81887
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-787f35fe48be4574b9677c7692b203bd
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-4d033e76bb1741da8f7caa0b1d6dcb70
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-e3ea53ba985a4643939713a078d35fb2
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-357011897d124cba80e588f1f9215918
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-2e56051c41d2414eac73d4ead46be02c
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-18d1086b62b34822aa01f77ac6a97300
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-e1c6dd2d8e914442944be20ed0d2329a
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-cfc4c85e83ac473f975729da32f3f522
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-a4bf30c9592e4505b4262d6cf9f5c822
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-f2ef245b00764373a0233881b534814d
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-d72ca437869847cc80726074a9a987a8
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-2d5b94e61df84078aff1ddebb8631b5d
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-e652fee528664700935b408790bcd138
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-f4a41877d62044b1ae6b2e3ba379b15b
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-c354f812e73f45d68aed445082eb23dc
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-6127d5a2766f4a3e8f8941d7bfb3c56a
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-1d544e39de97477a978e97f3fa2c1a20
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-7aae56e9c59a40219e0dee7b0281252e
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-9cf6371206e6421582f99086feb673c0
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "1" ]
task838-255b77c35be742cebe3a813a700a0002
Definition: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Positive Example 1 - Input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymiz...
[ "0" ]
task838-c324c95dd95c47f69910967d667147ca
End of preview. Expand in Data Studio

Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task838_cdt_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

Downloads last month
16

Papers for Lots-of-LoRAs/task838_cdt_classification