File size: 1,886 Bytes
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license: mit
dataset_info:
features:
- name: text
dtype: string
- name: labels
dtype: int64
- name: label_text
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- name: label
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- name: dataset
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num_examples: 11546
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configs:
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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)
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