Datasets › OCB
OCB (Open Circuit Benchmark)
OCB contains two graph datasets, Ckt-Bench-101 and Ckt-Bench-301, for representation learning over analog circuits. Ckt-Bench-101 and Ckt-Bench-301 contain graphs (DAGs) that represent analog circuits and provide their corresponding graph-level properties: DC gain (Gain), bandwidth (BW), phase margin (PM),Figure of Merit (FoM), which characterize the circuit performance.
- Motivation: Facilitate research in representation learning and automation of analog circuits.
- Tasks: graph-level prediction/regression; analog circuit search (ACS).
- Node features: discrete feature that characterize device type (e.g. capacitor); and continues feature of the device (e.g. capacitance).
- First open source benchmark for graph learning in analog circuits.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
Variants archive 2025-07-28
- OCB
1 variant name, as the archive lists them.
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