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  InToxiCat is a dataset for the detection of abusive language (defined by the aim to harm someone, individual, group, etc.) in Catalan, produced by the BSC LangTech unit.
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- The dataset consists of 29,809 sentences obtained from internet forums, annotated (by two annotators and a third to resolve disagreements) as to whether or not they are abusive; the 6047 instances annotated as abusive are further annotated for following features: the abusive span, the target span (to whom the abusiveness is directed), the target type and the implicit or explicit nature of abusiveness.
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- The dataset is split, in a balanced abusive/non-abusive distribution, into X training samples, Y validation samples, and X test samples.
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  This work is licensed under a Attribution-ShareAlike 4.0 International License.
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  ### Data Splits
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- * copa-ca.train.jsonl: 400 examples
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- * copa-ca.val.jsonl: 100 examples
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- * copa-ca.test.jsonl: 500 examples
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  ## Dataset Creation
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  InToxiCat is a dataset for the detection of abusive language (defined by the aim to harm someone, individual, group, etc.) in Catalan, produced by the BSC LangTech unit.
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+ The dataset consists of 29,809 sentences obtained from internet forums annotated as to whether or not they are abusive. The 6047 instances annotated as abusive are further annotated for following features: the abusive span, the target span (to whom the abusiveness is directed), the target type and the implicit or explicit nature of abusiveness.
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+ The dataset is split, in a balanced abusive/non-abusive distribution, into 23,847 training samples, 2981 validation samples, and 2981 test samples.
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  This work is licensed under a Attribution-ShareAlike 4.0 International License.
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  ### Data Splits
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+ * train.json: 23847 examples
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+ * dev.json: 2981 examples
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+ * test.json: 2981 examples
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  ## Dataset Creation
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