Multimodal Datasets & Benchmarks for Engineering Intelligence
Welcome to OmniEDA! We are a research initiative from the laboratory led by Prof. Mahanth Gowda in the School of Electrical Engineering and Computer Science at The Pennsylvania State University (Penn State). Together with our collaborators, we study multimodal understanding, geometric and spatial reasoning, and tool-augmented AI for electronic and mechanical design.
🌐 Project website · 🎓 Faculty & research group · 🤗 All datasets
Explore the data repositories behind our engineering benchmarks.
| Project | Data focus | Links |
|---|---|---|
| OmniSch | PCB schematics and structured circuit diagrams | Dataset · Website |
| OmniLayout | Schematic-coupled PCB layouts, component geometry, and placements | Dataset · Website |
| OmniRouting | PCB routing, connectivity, and design constraints | Dataset · Website |
| OmniMech | Mechanical drawings and multimodal 3D part representations | Dataset · Website |
| OmniCAD | 3D assemblies, component libraries, poses, and mate relations | Dataset · Website |
Release status: The five repositories have been initialized. Dataset files are pending upload; consult each dataset card for release updates, file availability, and documentation.
Our benchmarks evaluate the engineering capabilities supported by these datasets:
A dataset provides the examples and annotations. A benchmark defines how those examples are used to evaluate a system, including tasks, evaluation protocols, metrics, and reference results. See each project website and dataset card for the applicable protocol and citation.
Dataset access is gated with manual review. Sign in to Hugging Face, open the relevant dataset repository, and submit an access request. Requests are handled separately for each dataset; approval is required before downloading its released data.
Our datasets use the OmniEDA Dataset License, which limits use to non-commercial research and restricts redistribution. Separately identified third-party materials retain their original terms. Read the license in the repository you use.
Please use the Community tab of the relevant dataset for questions, issues, and proposed contributions. When using a dataset or reporting benchmark results, cite its associated project publication.