Arabic AI Benchmarks — Evaluation Frameworks
The Arabic AI evaluation ecosystem has grown to encompass over 40 distinct benchmarks, moving from inadequate machine-translated tests to native Arabic evaluations that capture genuine linguistic and cultural competence.
- OALL Benchmark Analysis — Open Arabic LLM Leaderboard
- ArabicMMLU Results — Native Arabic knowledge evaluation
- AraTrust Evaluation — Trustworthiness assessment
- BALSAM Benchmark — 78-task comprehensive evaluation
- SILMA Arabic Broad Benchmark — 470-question quality assessment
- Arabic AI Datasets — Training and evaluation data resources
Arabic AI Datasets — Training and Evaluation Data Resources for Arabic AI Development
Survey of public Arabic AI datasets — training corpora, evaluation benchmarks, dialect-specific resources, and data quality considerations for Arabic model development.
ArabicMMLU Results — Native Arabic Knowledge Evaluation Across Academic Domains
Analysis of ArabicMMLU benchmark results — 14,575 native Arabic MCQs sourced from educational exams, covering STEM, social sciences, humanities, and Arabic language understanding.
AraTrust Evaluation — Trustworthiness Assessment of Arabic Language Models
Analysis of AraTrust, the first comprehensive Arabic LLM trustworthiness benchmark — 522 human-written questions across truthfulness, ethics, privacy, and safety dimensions.
BALSAM Benchmark — Comprehensive 78-Task Arabic AI Evaluation
Analysis of the BALSAM benchmark offering 78 evaluation tasks with 52K samples and private test sets preventing benchmark contamination.
OALL Benchmark Analysis — Open Arabic LLM Leaderboard Methodology and Results
Deep analysis of the Open Arabic LLM Leaderboard — methodology, v2 improvements, 700+ model submissions, and what OALL scores mean for Arabic AI deployment decisions.
SILMA Arabic Broad Benchmark — 470-Question Quality Assessment Framework
Analysis of SILMA.AI's Arabic Broad Benchmark — 470 human-validated questions sampled from 64 Arabic datasets evaluating 22 categories with LLM-as-Judge methodology.