Replication Data for: A Retrieval-Augmented Generative Framework with Adaptive Libraries for Compositional Industrial Simulation Modeling
Abstract
Dataset overview This dataset contains SimCrafter result data for an industrial robotic material-handling cell. The task is to design an automated solution for unloading baskets filled with square wooden blocks onto a transport system, with buffer storage for full and empty baskets. The guided variant further constrains the solution to one long conveyor, two six-axis robots, Euro pallet buffers, and suction grippers. Top-level files descriptive_input.txt: short, open-ended natural-language prompt used for the descriptive generation runs. guided_input.txt: detailed prompt used for the guided generation runs, including required library components and layout constraints. config.yaml: run configuration, including model names, similarity thresholds, layout solving, layout healing, library matching, and JSON repair settings. Frontend.png: screenshot of the SimCrafter frontend during a generation run. PREREQUISITES.html: This file lists the software needed to use the Python evaluator and the Unity visualization scripts included with this SimCrafter data bundle. MANIFEST.TXT: inventory of all included files with media types and file sizes. Generated layout candidates The folder testgen/candidates/ contains 12 generated candidate layouts as JSON files. Each file stores a SimCrafter result with data.production_graph.nodes and data.production_graph.edges, plus reasoning, layout objectives, layout diagnostics, layout healing data, and, for most files, assembly routing data. Candidate…
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