Nigerian Twitter Data Annotated for Ethnic Slurs

A collection of Twitter data from Nigeria, annotated for ethnic slurs and hate speech. The dataset was created by author 'asogwa001' and was last updated on the Hugging Face platform in October 2025.

Use Cases

• Train a classifier to detect ethnic slurs using annotated text labels.
• Analyze the linguistic patterns and context of hate speech in Nigerian social media posts.
• Benchmark hate speech detection models on region-specific, multilingual text data.
• Study the intersection of ethnicity and online abuse within the Nigerian Twitter sphere.

Strengths

• Focus on a specific geographic and linguistic context (Nigeria).
• Dataset is hosted on a major platform (Hugging Face) with recent updates (October 2025).

Limitations

• Unknown dataset size, row count, and sample representativeness.
• Potential for severe class imbalance if hate speech instances are rare.
• Lack of column details prevents assessment of feature richness and structure.

Provenance

Source

Hugging Face, author asogwa001.

Collection Method

Presumably scraped and annotated from Twitter (X).

Time Range

null

Freshness

Last updated October 2025.

Geography

Nigeria