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AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages vs IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models

A verified, side-by-side comparison. Both records are status-checked by Wycord, so you are comparing what each actually offers today, not a stale listing.

AfriSenti: A Twitter Sentiment Analysis Benchmark for African LanguagesIrokoBench: A New Benchmark for African Languages in the Age of Large Language Models
Category
Research
Research
Type
NLP benchmark
NLP benchmark
Country
🌍 Pan-African
🌍 Pan-African
Docs status
Docs live
Docs live
Licensing
Pricing
Free / open
Free / open
Verified
Verified
Unverified
Last verified
10 Oct 2026
10 Oct 2026
Tags
african-languages, nlp-benchmark, sentiment-analysis, semeval
african-languages, masakhane, nlp-benchmark, llm-evaluation
Links
Website
Website
Summary
AfriSenti is a sentiment analysis benchmark of more than 110,000 tweets in 14 African languages spanning four language families, annotated by native speakers. It underpinned SemEval-2023 Task 12, a shared task that attracted more than 200 participants, and documents data collection, annotation and baseline methods for low-resource languages.
IrokoBench is a human-translated evaluation benchmark covering 17 typologically diverse low-resource African languages across three tasks: natural language inference (AfriXNLI), mathematical reasoning (AfriMGSM) and knowledge-based multiple-choice QA (AfriMMLU). The paper evaluates open and proprietary LLMs and documents a large gap between high-resource languages and African languages, with the best open model reaching about 63 percent of GPT-4o performance. It was published at NAACL 2025.

AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages vs IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models at a glance

AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages and IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models are both listed under NLP benchmark in Wycord's Research index.

Both are based in Pan-African.

Both currently show the status "Docs live".

On access, both are marked "No approval needed".

Over the last 30 days Wycord's probes measured 100% uptime for AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages (36 checks) and 100% for IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models (36 checks).

Average response time on live probes was 9 ms for AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages and 25 ms for IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models.

Uptime and latency come from Wycord's own probes of each resource's website, documentation and repository, run every six hours.

How they differ

  • Verification: AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages, Verified; IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models, Unverified.
  • Average latency: AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages, 9 ms; IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models, 25 ms.

Topics

Both are tagged: african-languages, nlp-benchmark.

Only AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages: sentiment-analysis, semeval.

Only IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models: masakhane, llm-evaluation.

Common questions

Which has better uptime, AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages or IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models?
They are level at 100% over the last 30 days.
Do AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages or IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models need approval before use?
Both are marked "No approval needed".
Is the documentation for AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages and IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models working?
Both show "Docs live" at the last check.
Where are AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages and IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models based?
Both are based in Pan-African.

More comparisons

Full details: AfriSenti: A Twitter Sentiment Analysis Benchmark for African LanguagesFull details: IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models