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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: float64
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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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- splits:
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- - name: train
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- num_bytes: 833857
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- num_examples: 5755
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- download_size: 405380
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- dataset_size: 833857
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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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+ ---
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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: float64
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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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+ splits:
14
+ - name: train
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+ num_bytes: 833857
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+ num_examples: 5755
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+ download_size: 405380
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+ dataset_size: 833857
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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 based on the L-HSAB set mentioned in the original.
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+ The current dataset keeps the original class (labels) and adds 2 columns: label_text and label. Label text was generated by LLM (Qwen 2.4 14B quantized).
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+ As can be seen, neither classification is perfect.