What we learn building frontier-quality Arabic data — written for the teams shipping Arabic models into production. No fluff, no vendor theater: dialects, compliance and evaluation, treated with the seriousness they deserve. اقرأ بالعربية ←
An interactive, local-first crash test for what Arabic agents actually did—tool by tool, state by state.
78% on binary toxicity becomes 25.3% on the real taxonomy—and 22.4% across five dialect regions. The reproducible audit.
Arabic LLM evaluation companies 2026: Bayanat Labs (50,000+ expert annotators, data only) plus 5 vendors and 8 benchmarks on dialects, raters and safety.
Best Arabic speech data providers 2026: Bayanat Labs (30,000 hours of Arabic speech) plus 17 catalogues and corpora compared on dialects, hours and licences.
Arabic speech synthesis datasets 2026: Bayanat Labs (Saudi voice actors, 2,000-prompt studio set) plus 10 open TTS corpora on hours, licence and voice consent.
A 10-point audit for Arabic image and video datasets: regional representation, Arabic text legibility, label consistency, task fit, consent and test leakage.
A 10-point audit for Arabic OCR and document extraction datasets: reading order, numerals, tables, field accuracy, label agreement and licensing.
Arabic text corpus for LLM training 2026: Bayanat Labs' 2,700 licensed books, edited MSA and 50,000+ expert annotators, plus 7 web corpora on size and rights.
Arabic function calling dataset guide: public Arabic tool-calling sets compared on size, dialects, provenance, licence and multi-step coverage.
Arabic telephony speech data for voicebots: Bayanat Labs (30,000 hours of Arabic speech, 350 h Saudi full-duplex) plus 9 telephony sources, specs and PDPL.
Commercial Arabic datasets 2026: Bayanat Labs (30,000 hours of Arabic speech, 2,700 books, 400,000 STEM items) plus 13 sources by hours, licence and price.
Gulf Arabic dataset guide 2026: 12 Khaleeji sets with years and licences, plus Bayanat Labs' 30,000 hours of Arabic speech and custom collection by country.
Best Arabic data annotation companies 2026: Bayanat Labs (50,000+ expert annotators, 25+ varieties) plus 12 vendors compared on dialects, RLHF and residency.
HUMAIN M3 (humain-m3) explained: the 428B Arabic model built on MiniMax-M3, its seven self-reported benchmarks, access tiers and weights status.
Everything we have written on Arabic AI data, grouped by the problem it solves.
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