Replication Data for: A Retrieval-Augmented Generative Framework with Adaptive Libraries for Compositional Industrial Simulation Modeling

Version 1.0
Tinsel, Erik-Felix, 2026, "Replication Data for: A Retrieval-Augmented Generative Framework with Adaptive Libraries for Compositional Industrial Simulation Modeling", https://doi.org/10.18419/DARUS-6098, DaRUS, V1, UNF:6:gQEgeRIcOShS/5BvypUTnA== [fileUNF]
Learn about Data Citation Standards.
Dataset Metrics
6 Downloads
Description

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 file names follow this pattern:

  • descriptive_*: generated from the short descriptive prompt.
  • guided_*: generated from the detailed guided prompt.
  • *_lib_*: generated with reuse of the existing SimCrafter/Roth model library.
  • *_nolib_*: generated without reusing the existing library, using generated Gen_* assets instead.
  • *_1, *_2, *_3: independent candidate runs for the same prompt/library setting.

For most analysis tasks, start with testgen/candidates/guided_lib_1.json. It has the highest score in the provided evaluation output, with overall quality 4.78, full component recall, full component precision, full variant accuracy, and no rule violations after validation.

Evaluation data

  • testgen/evaluation.csv: computed metrics for all 12 candidate JSON files. It includes component recall/precision, variant accuracy, edge recall/precision, rule violations after validation, layout validation, overall quality, and raw component/edge counts.
  • testgen/reference_model_template.yaml: ground-truth reference model used for evaluation. It defines the expected robots, conveyor, pallet buffers, suction grippers, graph relations, and forbidden safety/fence/door variants.
  • testgen/evaluate_sim_results.py: Python evaluator used to compare generated candidates against the reference model.

The supplied evaluation.csv already contains the evaluated results. To rerun the evaluator, use Python with PyYAML installed and provide the SimCrafter component library YAML from the main project:

cd testgen
python evaluate_sim_results.py --results candidates --reference reference_model_template.yaml --library ../../datagen/libraries/simcrafter_roth.yaml --out evaluation.csv

Adjust the --library path if the library YAML is stored elsewhere. The GLB cache in this dataset is enough for visualization, but the evaluator expects the separate library YAML file.

3D asset cache

The folder LibraryCache/ contains GLB models used for visualization. GLB is the binary glTF 3D model format. The accompanying .meta files are Unity metadata files.

  • LibraryCache/roth/: 38 original SimCrafter/Roth library assets, such as Euro_pallet.glb, Conveyor_L2500.glb, Robot_arcMate_120iD.glb, Robot_arcMate_50iC_5L.glb, and Suction_Gripper.glb. Use this cache for *_lib_* candidates.
  • LibraryCache/open/: 66 generated or open-ended Gen_* assets. Use this cache for *_nolib_* candidates.

Unity visualization

The folder 3DUnityVisualization/ contains Unity C# scripts for importing a candidate JSON layout and creating a Unity scene from the cached GLB models.

  • LayoutJsonImporterWindow.cs: Unity editor window. It appears under SimCrafter/Layout JSON Importer and Tools/Layout/Import JSON (Create Scene).
  • GeneratedComponentTag.cs: attaches imported component metadata to generated scene objects.
  • GeneratedLayoutLabel.cs and GeneratedLayoutLabelManager.cs: create and position readable labels for imported components.
  • SimpleWalkCamera.cs: optional camera controller for moving around the generated scene.

To visualize a candidate in Unity:

  1. Copy the scripts from 3DUnityVisualization/ into a Unity project. Place LayoutJsonImporterWindow.cs under an Assets/Editor/ folder so Unity treats it as an editor script.
  2. Copy LibraryCache/roth/ and LibraryCache/open/ into the Unity project under Assets/Generated/LibraryCache/, preserving the folder names.
  3. Open SimCrafter/Layout JSON Importer in Unity.
  4. Select a candidate JSON from testgen/candidates/.
  5. Disable Fetch Model Library to use the local cache.
  6. Set Asset Cache to Assets/Generated/LibraryCache.
  7. Set Variant to roth for *_lib_* candidates or open for *_nolib_* candidates.
  8. Run the import. The importer creates and opens a Unity scene, by default at Assets/Scenes/Generated/LayoutGenerated.unity.

Recommended starting points

  • Use guided_input.txt and descriptive_input.txt to understand the two prompt conditions.
  • Use testgen/evaluation.csv for quantitative comparison across candidates.
  • Use testgen/candidates/guided_lib_1.json as the strongest generated candidate in this bundle.
  • Use LibraryCache/roth/ and LibraryCache/open/ with the Unity importer to inspect the corresponding 3D layouts.
Subject Engineering
Keyword Simulation, Generative Artificial Intelligence, Requirements Engineering
License/Data Use Agreement

Custom Dataset Terms

Table
Tree
1 to 10 of 236 Files
config.yaml
Unknown - 1.7 KB
Published May 21, 2026
0 Downloads
MD5: fc7ea0464bace29b82ac3214f9581446
The basic configuration parameters used for the study. E.g., similarity threshold or layout_heal attempts.
descriptive_input.txt
Plain Text - 315 B
Published May 21, 2026
1 Download
MD5: 6618f607f51b00890dc9592ac933be18
The textual input used for the descriptive generation candidates.
Preview "descriptive_input.txt"
Frontend.png
Frontend.png
PNG Image - 212.8 KB
Published May 21, 2026
1 Download
MD5: 3aab80eb602ffcbda8342d0eaccdd9ff
User interface used in this research
Preview "Frontend.png"
guided_input.txt
Plain Text - 1.7 KB
Published May 21, 2026
1 Download
MD5: 0b317629e99ced8675f9c13a95b49ba1
The textual input used for the guided generation candidates.
Preview "guided_input.txt"
PREREQUISITES.html
HTML - 4.6 KB
Published May 21, 2026
0 Downloads
MD5: 2e2e918eae8927ffa53671e9c919f4e9
This file lists the software needed to use the Python evaluator and the Unity visualization scripts included with this SimCrafter data bundle.
Preview "PREREQUISITES.html"
GeneratedComponentTag.cs
3DUnityVisualization/Unknown - 249 B
Published May 21, 2026
0 Downloads
MD5: bcd8e1e9df4c7286ebc7869a0c7377bd
Label visualization for component identification
GeneratedLayoutLabel.cs
3DUnityVisualization/Unknown - 7.2 KB
Published May 21, 2026
0 Downloads
MD5: 6a58ced9802b6980c122db936909fc94
Label visualization for component identification
GeneratedLayoutLabelManager.cs
3DUnityVisualization/Unknown - 4.0 KB
Published May 21, 2026
0 Downloads
MD5: 6a617fbe20c3c4d7ba1480eb630d1d96
Label visualization for component identification
LayoutJsonImporterWindow.cs
3DUnityVisualization/Unknown - 43.7 KB
Published May 21, 2026
0 Downloads
MD5: 01e6c40dd26cd0612aecbdadc1098262
Import script for api_results for visualization purposes. Do not fetch model library. Use "open" as variant for no lib results and "roth" for lib results.
SimpleWalkCamera.cs
3DUnityVisualization/Unknown - 3.9 KB
Published May 21, 2026
0 Downloads
MD5: 175a8fb8ca1361afa0ed21ad90e52352
Required files to load the result scenes into a Unity 6000.4 instance.
Edit File

This file has already been deleted (or replaced) in the current version. It may not be edited.

Restrict Access

Restricting limits access to published files. People who want to use the restricted files can request access by default. If you disable request access, you must add information about access to the Terms of Access field.

Learn about restricting files and dataset access in the User Guide.

Enable access request
You must enable request access or add terms of access to restrict file access.
Save Changes
Edit Embargo

The selected file or files have already been published. Contact an administrator to change the embargo date or reason of the file or files.
Edit Retention Period

The selected file or files have already been published. Contact an administrator to change the retention period date or reason of the file or files.
Delete Files

The file will be deleted after you click on the Delete button.

Files will not be removed from previously published versions of the dataset.

Select File(s)

Please select one or more files.

Share Dataset

Share this dataset on your favorite social media networks.

Continue
Dataset Citations

Citations for this dataset are retrieved from Crossref via DataCite using Make Data Count standards. For more information about dataset metrics, please refer to the User Guide.

Sorry, no citations were found.
Inaccessible Files Selected

The selected file(s) may not be downloaded because you have not been granted access or the file(s) have a retention period that has expired or the files can only be transferred via Globus.

You may request access to any restricted file(s) by clicking the Request Access button.

Ineligible Files Selected

The selected file(s) may not be transferred because you have not been granted access or the file(s) have a retention period that has expired or the files are not Globus accessible.

You may request access to any restricted file(s) by clicking the Request Access button.

Download Options

The files selected are too large to download as a ZIP.

You can select individual files that are below the 1.9 GB download limit from the files table, or use the Data Access API for programmatic access to the files.

Select File(s)

Please select a file or files to be downloaded.

Inaccessible Files Selected

The selected file(s) may not be downloaded because you have not been granted access or the file(s) have a retention period that has expired.

Click Continue to download the files you have access to download.

Ineligible Files Selected

Some file(s) cannot be transferred. (They are restricted, embargoed, with an expired retention period, or not Globus accessible.)

Click Continue to transfer the elligible files.

Delete Dataset

Are you sure you want to delete this dataset and all of its files? You cannot undelete this dataset.

Delete Draft Version

Are you sure you want to delete this draft version? Files will be reverted to the most recently published version. You cannot undelete this draft.

Unpublished Dataset Preview URL

Preview URL can only be used with unpublished versions of datasets.

Unpublished Dataset Preview URL

Are you sure you want to disable the Preview URL? If you have shared the Preview URL with others they will no longer be able to use it to access your unpublished dataset.

Delete Files

The file(s) will be deleted after you click on the Delete button.

Files will not be removed from previously published versions of the dataset.

Compute

This dataset contains restricted files you may not compute on because you have not been granted access.

Deaccession Dataset

Are you sure you want to deaccession? This is permanent and the selected version(s) will no longer be viewable by the public.

Deaccession Dataset

Are you sure you want to deaccession this dataset? This is permanent an it will no longer be viewable by the public.

Version Differences Details

Please select two versions to view the differences.

Version Differences Details
 
Version:
Last Updated:
Version Note:
Version:
Last Updated:
Version Note:
Select File(s)

Please select a file or files for access request.

Select File(s)

Embargoed files cannot be accessed. Please select an unembargoed file or files for your access request.

Edit Tags

Select existing file tags or create new tags to describe your files. Each file can have more than one tag.

Request Access

 You need to Log In to request access.

Dataset Terms

Please confirm and/or complete the information needed below in order to request access to files in this dataset.

This dataset is made available under the following terms. Please confirm and/or complete the information needed below in order to continue.

Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

Custom Dataset Terms - the following Custom Dataset Terms have been defined for this dataset.

The research data in this dataset is licensed under the CC BY 4.0.
The research software (Python, C# code) in this dataset is licensed under the MIT License.
Preview Guestbook

Upon downloading files the guestbook asks for the following information.

Account Information

Package File Download

Use the Download URL in a Wget command or a download manager to download this package file. Download via web browser is not recommended. User Guide - Downloading a Dataverse Package via URL

https://darus.uni-stuttgart.de/api/access/datafile/

Compute Batch
Clear Batch
Dataset Persistent Identifier Change Compute Batch
Compute Batch
Submit for Review

Please use the publication checklist for authors ( https://www.izus.uni-stuttgart.de/en/fokus/darus/publication/ ) to ensure publication readiness. You will not be able to make changes to this dataset while it is in review.

Publish Dataset

Are you sure you want to republish this dataset?

Select if this is a minor or major version update.

Publish Dataset

This dataset cannot be published until 2024_BMFTR_assistvc is published by its administrator.

Publish Dataset

This dataset cannot be published until 2024_BMFTR_assistvc and ISW Data Repository are published.

Return to Author

Return this dataset to contributor for modification. The reason for return entered below will be sent by email to the author.

Curation Status History
StatusDateAssigner
2026-05-21 16:05:17Erik-Felix Tinsel
Waiting for Feedback from Author2026-05-21 12:38:15Florian Fritze
In Review by FoKUS2026-05-21 12:25:29Florian Fritze
Waiting for Feedback from Author2026-05-21 11:54:36Florian Fritze
In Review by FoKUS2026-05-21 11:12:16Florian Fritze
Waiting for Feedback from Author2026-05-21 06:31:11Dataverse Admin
In Review by FoKUS2026-05-18 09:55:37Dataverse Admin
Add/Edit a Version Note

Enter the reason this version was created. To learn more about Version Notes, visit the Version Notes section of the User Guide.

Styled Citation