input stringlengths 794 961 | output listlengths 1 1 | id stringlengths 40 40 |
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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 |
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