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README.md
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@@ -28,11 +28,12 @@ This __hate speeh__ dataset is derived from [manueltonneau/arabic-hate-speech-su
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The original dataset has loading issues. This dataset is mainly based on the __L-HSAB__ and __alsafari__ sets mentioned in the original.
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Around 3000 other records from other datasets were added for better (not full) coverage.
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The current dataset keeps the original class (labels - apparently not as accurate as should be) and adds 2 columns: label_text and label (0: negative, 1:positive).
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Label text was first generated by LLM (Qwen 2.5 14B quantized). Label was fully revised after that and reflects my personal opinion (not an exat science).
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I plan to add more rows to this dataset to cover regional nuances (dialects, terminology, ..).
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A [hate speech classifier model](https://huggingface.co/akhooli/setfit_ar_hs) based on this dataset is available.
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* Note: this dataset was updated on Nov. 14, 2024. It has around 11500 entries all manually inspected and labeled
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The original dataset has loading issues. This dataset is mainly based on the __L-HSAB__ and __alsafari__ sets mentioned in the original.
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29 |
Around 3000 other records from other datasets were added for better (not full) coverage.
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The current dataset keeps the original class (labels - apparently not as accurate as should be) and adds 2 columns: label_text and label (0: negative, 1:positive).
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Label text was first generated by LLM (Qwen 2.5 14B quantized). Label was fully revised after that and reflects my personal opinion (not an exat science).
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A [hate speech classifier model](https://huggingface.co/akhooli/setfit_ar_hs) based on this dataset is available.
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* Note: this dataset was updated on Nov. 14, 2024. It has around 11500 entries all manually inspected and labeled
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(my personal assessment, so not always correct or as intended).
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* __Disclaimer__: some entries contain obscene language, swearing and other forms of unacceptable terminology
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(data taken as is, removed only instances of "@user" from the original).
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The purpose of the dataset is to train a classifier and not to publish or endorse accpeptable/unacceptable content.
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