metadata
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.
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 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