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README.md
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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:
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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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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.
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