AfriHate

license

apache-2.0(Hugging Face card metadata

access

auto(automatic Hugging Face gate)

dataset_card

present(languages, labels, fields and baselines described

The card metadata applies Apache-2.0, and the data opens after an automatic click-through on Hugging Face. The GitHub repository carries no license file of its own.

• https://huggingface.co/api/datasets/afrihate/afrihate recorded 2026-09-24

  "gated": "auto"; cardData license "apache-2.0".

• https://huggingface.co/datasets/afrihate/afrihate recorded 2026-09-24

  "Each example in the dataset is a tweet annotated by native speakers"; labels "Hate, Abusive, or Normal"; 15 languages listed.

• https://raw.githubusercontent.com/afrihate/afrihate/main/README.md recorded 2026-09-24

  README points to the paper and the Hugging Face dataset; the license badge is commented out.

Hugging Face downloads of the single AfriHate repository, behind an automatic gate. Downloads count file fetches, not moderation systems built on it.

• https://huggingface.co/api/datasets/afrihate/afrihate recorded 2026-09-24

  134 downloads in the trailing 30 days for afrihate/afrihate

AfriHate is a documented, native-speaker-labeled dataset for one task, hate and abuse detection, across 15 languages. Beyond its own baselines, only a small community classifier is listed as trained on it, and it covers a single task where AfroBench spans 15 tasks in 64 African languages.

• https://arxiv.org/abs/2501.08284 recorded 2026-09-24

  Abstract: "a multilingual collection of hate speech and abusive language datasets in 15 African languages. Each instance in AfriHate is annotated by native speakers".

• https://arxiv.org/html/2501.08284 recorded 2026-09-24

  "each tweet was annotated by 3 annotators" for languages with pre-annotation; tweets from 2012 to 2023 via the Academic API.