Pair continuous operating telemetry with annotated state changes to evaluate next-stage state prediction for sodium-ion energy storage systems.

Image records and annotation references for wind turbine blade inspection, with metadata to support surface defect recognition.

Evaluate domain-specific information extraction with structured annotations of temperature sensor limitations, fault conditions, impacts, handling guidance, and evidence.

The Automated Warehouse Drone Inventory Video Dataset aims to enhance inventory management efficiency in the courier and logistics industry.

Structured, machine-checkable examples of inventory movements and state changes provide clear feedback for ERP constraint reasoning and RLVR training.

Train models to make evidence-based electrical safety judgments with explicit premises and reasoning chains for floating solar PV.

Explore CSTR dynamics through simulation records linking process states, control actions, and counterfactual trajectories.

Combine multi-window telemetry and control commands to detect CSP plant state transitions and predict the next operating state.

Build intelligent inspection models with images and annotations for detecting industrial conveyor belt anomalies and surface damage.

Introduction

Structured formulation inputs, calculated metrics, and verification rationales help models check condensed milk composition calculations with greater accuracy.

This dataset is used to detect the status of forklift loading/unloading operations, enhancing work efficiency and safety in the express logistics industry.

Train models to assess grasp stability proofs using contact definitions, mechanical constraints, and force-closure criteria.

Evaluate engineering models with traceable inputs, independent calculation results, and answer checks for boiler relief-device sizing.

Train multi-step reasoning about self-consumption, grid exports, and curtailment under commercial solar operating constraints.

Evaluate how reliably models verify industrial ventilation equipment answers against model-specific specifications.

Explore complete shipment planning trajectories across air express networks, including routing, hub and flight connections, and deadline decisions for end-to-end long-horizon planning.

Evaluate how well models extract gas sensor operating and fault states, including their triggers and manifestations, from specialized documents.

The Sorting Center Package Manifest Text Recognition Image Dataset is designed to enhance automated text recognition in the courier logistics field.

The Assembly Line Parts Defect Visual Inspection Dataset provides high-precision industrial images to enhance the defect detection capabilities of production lines.