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--- |
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license: mit |
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dataset_info: |
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features: |
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- name: text |
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dtype: string |
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- name: labels |
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dtype: int64 |
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- name: label_text |
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dtype: string |
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- name: label |
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dtype: int64 |
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- name: dataset |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 2605687 |
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num_examples: 11546 |
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download_size: 1306400 |
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dataset_size: 2605687 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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This __hate speeh__ dataset is derived from [manueltonneau/arabic-hate-speech-superset](https://huggingface.co/datasets/manueltonneau/arabic-hate-speech-superset). |
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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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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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* [LinkedIn article](https://www.linkedin.com/posts/akhooli_arabic-hate-speech-detection-is-not-an-easy-activity-7261021456023609344-UJzM) |
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