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| Type: | Resource | |
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| Created: | Jul 31, 2026 at 5:21 p.m. (UTC) | |
| Last updated: | Jul 31, 2026 at 5:32 p.m. (UTC) | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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Abstract
This dataset contains derived P&ID knowledge graph artifacts prepared from the public DEXPI Public Example PIDs / TrainingTestCases repository. It includes normalized DEXPI/Proteus XML inputs, pyDEXPI JSON model exports, GEXF graph exports where available, a SQLite database representation, schema documentation, sample design decision logs, and sample decision-generated candidate graph exports. The dataset supports research on P&ID knowledge representation, GraphRAG, human-AI design communication, and traceable design-decision logging. The candidate graph files are research artifacts and are not final approved engineering P&ID drawings.
Subject Keywords
Content
README.md
CoDesign Data Package
This folder is organized as the data package for the CUAHSI final report.
Source P&ID Information
raw/: source folders copied from the DEXPI public example P&ID training cases.pids/: normalized DEXPI/Proteus XML files used as conversion inputs.sample/: small default PFAS treatment example used by the web app.
Original upstream source: DEXPI Public Example PIDs / TrainingTestCases
- Repository: https://gitlab.com/dexpi/TrainingTestCases
- DEXPI 1.3 example PIDs: https://gitlab.com/dexpi/TrainingTestCases/-/tree/master/dexpi%201.3/example%20pids?ref_type=heads
The files in this project are derived or normalized research artifacts created from those public examples; the original P&ID example authorship remains with the upstream DEXPI repository.
Transformed Knowledge Graph Data
json/: pyDEXPI JSON model exports.gexf/: NetworkX graph exports for knowledge graph analysis and visualization.schemas/knowledge_graph_schema.json: lightweight schema for the graph/data fields used by this prototype.
Design Decision Dataset
design_decisions/: exported CSV/JSON decision logs from human or AI-agent runs.- Each row should represent one design question/answer exchange, with responder type stored separately from response content.
Detailed Candidate P&ID Dataset
candidates/: generated reviewable candidate P&ID JSON files exported from the web app.schemas/candidate_pid_schema.json: lightweight schema for exported candidate files.
Included Sample Outputs
The repository includes one human-run and one AI-agent-run sample output set for report review:
design_decisions/sample_human_decision_log.csvdesign_decisions/sample_agent_decision_log.csvcandidates/sample_human_candidate_pid.jsoncandidates/sample_agent_candidate_pid.json
The human sample demonstrates direct user choices. The agent sample demonstrates AI-default assumptions marked for human review.
Related Resources
| The content of this resource can be executed by | Park, S. (2026). CoDesign software prototype and web application. GitHub. https://github.com/separk-1/codesign |
| The content of this resource is derived from | DEXPI Initiative. Public Example PIDs / TrainingTestCases. GitLab. https://gitlab.com/dexpi/TrainingTestCases |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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