| | --- |
| | license: mit |
| | dataset_info: |
| | features: |
| | - name: text |
| | dtype: string |
| | - name: labels |
| | dtype: int64 |
| | - name: label_text |
| | dtype: string |
| | - name: label |
| | dtype: int64 |
| | - name: dataset |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 2605687 |
| | num_examples: 11546 |
| | download_size: 1306400 |
| | dataset_size: 2605687 |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: train |
| | path: data/train-* |
| | --- |
| | This __hate speeh__ dataset is derived from [manueltonneau/arabic-hate-speech-superset](https://huggingface.co/datasets/manueltonneau/arabic-hate-speech-superset). |
| | The original dataset has loading issues. This dataset is mainly based on the __L-HSAB__ and __alsafari__ sets mentioned in the original. |
| | Around 3000 other records from other datasets were added for better (not full) coverage. |
| | 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). |
| | 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). |
| | |
| | A [hate speech classifier model](https://huggingface.co/akhooli/setfit_ar_hs) based on this dataset is available. |
| | |
| | * Note: this dataset was updated on Nov. 14, 2024. It has around 11500 entries all manually inspected and labeled |
| | (my personal assessment, so not always correct or as intended). |
| | * __Disclaimer__: some entries contain obscene language, swearing and other forms of unacceptable terminology |
| | (data taken as is, removed only instances of "@user" from the original). |
| | The purpose of the dataset is to train a classifier and not to publish or endorse accpeptable/unacceptable content. |
| | * [LinkedIn article](https://www.linkedin.com/posts/akhooli_arabic-hate-speech-detection-is-not-an-easy-activity-7261021456023609344-UJzM) |
| | |
