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omanyasa/shona-hate-speech

Dataset Card for Balanced Shona Hate Speech Dataset Dataset Summary This dataset contains 2,000 balanced examples of Shona text classified into four categories: NEUTRAL, OFFENSIVE, CONTEXTUAL, and HATE. Data Sources Label Source Count NEUTRAL Literary novel (Imbwa Yemunhu by Ignatius T. Mabasa) 500 OFFENSIVE Synthetic template-based generation 500 CONTEXTUAL Synthetic (quoted hate speech, not endorsed) 500 HATE Synthetic (direct… See the full description on the dataset page: https://huggingface.co/datasets/omanyasa/shona-hate-speech.

sourceHugging Faceapache-2.0updated 5mo agoView on Hugging Face
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Dataset Card

Dataset Card for Balanced Shona Hate Speech Dataset

Dataset Description

  • —Curated by: Omanyasa
  • —Language(s): Shona (ISO 639-3: sna)
  • —License: Apache 2.0
  • —Size: 2,000 balanced examples (500 per class)

Dataset Summary

This dataset contains 2,000 balanced examples of Shona text classified into four categories: NEUTRAL, OFFENSIVE, CONTEXTUAL, and HATE.

Data Sources

LabelSourceCount
NEUTRALLiterary novel (Imbwa Yemunhu by Ignatius T. Mabasa)500
OFFENSIVESynthetic template-based generation500
CONTEXTUALSynthetic (quoted hate speech, not endorsed)500
HATESynthetic (direct attacks on protected groups)500

Dataset Structure

Data Fields

  • —id (string): Unique identifier
  • —text (string): The Shona text content
  • —label (string): One of NEUTRAL, OFFENSIVE, CONTEXTUAL, HATE
  • —target_group (string): Protected group targeted (if applicable)
  • —is_quoted (bool): Whether the text quotes harmful language
  • —rationale (string): Explanation for the label

Label Definitions

LabelDefinition
NEUTRALNo harmful or abusive content
OFFENSIVEInsults toward individuals or non-protected groups
CONTEXTUALQuoted hate speech, not endorsed
HATEDirect attack on protected group (ethnicity, religion, gender, disability, nationality)

Bias, Risks, and Limitations

Known Limitations

⚠️ This dataset is synthetic. All OFFENSIVE, CONTEXTUAL, and HATE examples were generated using simple templates, not collected from real‑world Shona social media.

⚠️ No real hate speech. The dataset contains no actual user‑generated hate speech. Models trained on this data may not generalise to real‑world online content.

⚠️ Literary neutral data. NEUTRAL examples come from a novel (literary Shona), not conversational Shona.

⚠️ No expert validation. Labels were not verified by native speakers.

Citation

If you use this dataset, please cite:

bibtex
@misc{shona_hate_dataset,
  author = {Omanyasa},
  title = {Balanced Shona Hate Speech Dataset},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/omanyasa/shona-hate-speech}
}

Licensing Information

This dataset is released under the Apache License 2.0.