AI & ML interests

Arabic AI data: speech and text datasets, native-speaker annotation, alignment and evaluation across 25+ Arabic varieties. Open research in Arabic retrieval and RAG, automated labeling, and tool-using agent reliability.

Recent Activity

shakeebshams  updated a Space about 9 hours ago
Bayanat-Labs/arabic-document-atlas
shakeebshams  published a dataset about 17 hours ago
Bayanat-Labs/arabic-asr-channel-pairs
shakeebshams  published a dataset about 17 hours ago
Bayanat-Labs/arabic-token-tax-index
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Organization Card

Bayanat Labs · بيانات لابز

Bayanat Labs is a Riyadh-based Arabic data company for AI. We collect, annotate, align and evaluate data across 25+ Arabic varieties, with vetted native speakers, linguists and licensed domain professionals. We are model-agnostic and work on data.

Website · GitHub · LinkedIn

Open research and resources

  • Arabic Reconciliation Bench — Original synthetic Arabic document reasoning: 5,600 generated families, 67,200 controlled views and 95,200 matched comparisons, plus 1,120 Arabic image pages. Includes exact fictional policies, independent software audits and reproducible evaluation; no human accountant validation. Data: CC BY 4.0. Inspect the evidence · Code.
  • Arabic Entity Atlas — 2,296,957 Arabic-labeled Wikidata entities with source aliases, explicit ambiguity and component-disjoint retrieval partitions. CC0 data with reproducible code and audits. Explore the interactive sample.
  • Arabic Retrieval Starter Kit — A fully synthetic Arabic/English retrieval and RAG evaluation fixture with 12 passages, 12 queries and 30 graded judgments. Includes Gulf and MSA questions, code-switching, superseded-policy hard negatives and unanswerable queries. CC BY 4.0. A pipeline fixture, not a representative benchmark or commercial-data sample.
  • LabelBench — A reproducible audit of automated Arabic labeling, with an open evaluation harness, technical report and aggregate results. Code: Apache-2.0; Bayanat-authored results and paper source: CC BY 4.0. Third-party source data retains its own license and is downloaded from its original source.
  • Arabic Agent Reliability Lab — A local harness that grades tool actions and resulting state, with 21 open synthetic commerce workflows and sanitized evidence receipts. Methods beta; colloquial examples are unvalidated pending independent native review. Code: Apache-2.0; open scenarios and published receipts: CC BY 4.0. Results describe disclosed whole-system configurations.

Work with us

Explore Arabic speech and text datasets, request custom collection and evaluation, or run a pilot. Commercial collection samples and datasheets are available on request.

Contact: hello@bayanatlabs.com

بيانات لابز

شركة مقرّها الرياض تعمل على البيانات العربية للذكاء الاصطناعي: الجمع والتوسيم والمواءمة والتقييم، عبر أكثر من 25 لهجة وتنويعة عربية. ننشر أدوات وحزم تقييم مفتوحة، مع توضيح مصادر البيانات والرخص وحدود النتائج.

المنتجات · اطلب مشروعًا تجريبيًا · GitHub

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