Uchebuzz / Naijaeval
Evaluation Metrics for African Languages
Why this job: matched by what the repo talks about: evaluation, language, metric
What it does
Standard NLP benchmarks — GLUE, HELM, XTREME — were built for high-resource languages and standard dialects. When you build a system for Nigerian English, Yoruba, Igbo, Hausa, Nigerian Pidgin, or Swahili, none of those benchmarks tell you whether your system actually works.
Get started
pip install naijaeval- Maintenance
- Inactive
- Last commit 6 months ago
- Stars
- 128
- On GitHub
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- None
- No issues filed
- Pull requests
- 0 merged
- 0 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- Python 100%
Topics
- llm
- llms
- metrics
Project record
- JobEvals and observability
- StatusListed
- Commits7
- Forks56
- Watching0
- Stars in 28 days0
- CreatedJun 22, 2026
- First seen by usNov 7, 2026
- CheckedNov 8, 2026