{"id":"W4416047703","doi":"10.48550/arxiv.2505.21979","title":"Pearl: A Multimodal Culturally-Aware Arabic Instruction Dataset","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alliance de recherche numérique du Canada; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Pearl; Benchmark (surveying); Arabic; Workflow; Benchmarking; Mainstream; Semantics (computer science)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007581659,0.00196547,0.0005103844,0.001836536,0.001060069,0.001250819,0.002059501,0.001940196,0.01574912],"category_scores_gemma":[0.00534952,0.0002864567,0.0007867879,0.001694678,0.0006155663,0.002021002,0.002476267,0.002053882,0.01108646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001483451,"about_ca_system_score_gemma":0.001420972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01804261,"about_ca_topic_score_gemma":0.03204476,"domain_scores_codex":[0.9992854,0.0002275099,0.00006390303,0.0002084955,0.00015319,0.00006159224],"domain_scores_gemma":[0.9988862,0.0003738164,0.00005682645,0.0002844831,0.0003047591,0.00009398012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007035912,0.0007050834,0.009924238,0.002254808,0.0001420811,0.001023877,0.00122041,0.01611719,0.008454072,0.00690205,0.6696221,0.2829305],"study_design_scores_gemma":[0.0003329362,0.0004939298,0.02478307,0.000913809,0.0001451725,0.001351979,0.004142194,0.150471,0.0246932,0.02040553,0.7719477,0.000319474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.165449,0.004356247,0.0694731,0.003834075,0.001142399,0.001808169,0.6437037,0.04709996,0.06313346],"genre_scores_gemma":[0.1544408,0.0008991971,0.08348548,0.001044183,0.0001061181,0.002157585,0.7407519,0.0011331,0.01598168],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01804261,"threshold_uncertainty_score":0.0526861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03124253345628599,"score_gpt":0.3130544899995196,"score_spread":0.2818119565432336,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}