xpertsystems/oil046-sample

OIL-046合成培训模拟数据集（样本）是由XpertSystems.ai构建的基于虚拟现实（VR）的操作员培训模拟合成数据集，专注于上游、海上和炼油厂的石油天然气操作。该数据集是完整OIL-046产品的预览版本，包含13个CSV表格，围绕会话ID、学员ID和设施ID组织，涵盖设施主数据、学员主数据、培训会话、VR移动（3D位置和头部旋转）、设备交互、警报事件、应急响应、通信日志、疏散序列、安全违规、疲劳配置文件、事故进展以及预构建的机器学习标签。样本数据包括500名学员、30个设施、2,500次培训会话和15,000次VR移动记录，总计约115,000行数据。数据集基于多个行业标准（如IPIECA、IADC、OPITO、NFPA、CCPS等）校准，并提供了验证记分卡，用于评估数据集质量。该数据集旨在支持VR培训平台供应商、操作员能力分析团队、模拟器保真度研究人员等，进行通过/失败预测、再培训推荐、VR保真度与性能相关性分析等多模态培训分析。OIL-046 — Synthetic Training Simulation Dataset (Sample) is a VR-based operator training simulation synthetic dataset built by XpertSystems.ai for upstream, offshore, and refinery oil & gas operations. It is a schema-identical preview of the full OIL-046 product, containing 13 CSV tables organized around session_id, trainee_id, and facility_id, covering facility master, trainee master, training sessions, VR movements (3D position and head rotation), equipment interactions, alarm events, emergency response, communication logs, evacuation sequences, safety violations, fatigue profiles, incident progression, and pre-built ML training labels. The sample includes 500 trainees, 30 facilities, 2,500 training sessions, and 15,000 VR movement records, totaling approximately 115,000 rows. The dataset is calibrated to multiple industry standards (e.g., IPIECA, IADC, OPITO, NFPA, CCPS) and includes a validation scorecard for quality assessment. It is designed for VR training platform vendors, operator competency analytics teams, simulator fidelity researchers, etc., to support pass/fail prediction, retraining recommendation, VR realism-performance correlation, and multi-modal training analytics.