Arabic AI & Data
Arabic AI needs Yemen's voices.
Yemeni Arabic is one of the least-resourced dialects in public datasets — a few hours of speech, and text corpora that have not been refreshed in years. 5 Lines supplies the people, the consent and the quality control that close that gap, for model builders in the Gulf and worldwide.
Offers
What we deliver for AI and language-technology teams.
Yemeni Dialect Data Studio
Speech and text collection in Taizi, Sanaani, Adeni, Hadrami and Tihami Arabic, with speaker metadata, transcription and dialect tags. Delivered under consent and licensing terms you can audit.
Annotation & Verification Teams
Managed Arabic-native annotators for text, speech and map data: labelling, points-of-interest verification, web research, reviewer and QA roles. Hourly or per-unit pricing with a pilot phase first.
Arabic LLM Evaluation Panel
A vetted roster for preference rating, cultural-relevance review, dialect accuracy checks and red-teaming, so models meant for Arab users are tested by Arab users.
AI for M&E and Knowledge
AI-assisted transcript coding, indicator QA and report drafting for NGOs, and Arabic-first retrieval assistants over your own documents — always with a human sign-off.
How a data engagement runs
Pilot first, then scale.
Scope, guidelines and a sample batch. We agree quality thresholds and the rate card.
Pilot with a small team; inter-annotator agreement and throughput measured and reported.
Team grows to the agreed size with reviewer and QA layers; weekly quality reports.
Clean datasets, metadata, consent records and a final quality summary.