{"url":"/dataset/ocb","name":"OCB","full_name":"Open Circuit Benchmark","description_markdown":"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.\r\n\r\n* Motivation: Facilitate research in representation learning and automation of analog circuits.\r\n* Tasks: graph-level prediction/regression; analog circuit search (ACS).\r\n* Node features: discrete feature that characterize device type (e.g. capacitor); and continues feature of the device (e.g. capacitance).\r\n* First open source benchmark for graph learning in analog circuits.","description_withheld":null,"homepage":"https://github.com/zehao-dong/CktGNN/OCB","introduced_date":"2023-08-31","introduced_date_note":null,"introduced_by":{"paper":"/paper/cktgnn-circuit-graph-neural-network-for","title":"CktGNN: Circuit Graph Neural Network for Electronic Design Automation","first_author":"Zehao Dong","url":null},"license":null,"modalities":[],"tasks":[{"name":"Graph Regression","url":"/task/graph-regression","datasets_with_task":"/datasets/task/graph-regression"},{"name":"Graph Learning","url":"/task/graph-learning","datasets_with_task":"/datasets/task/graph-learning"},{"name":"Bayesian Optimization","url":"/task/bayesian-optimization","datasets_with_task":"/datasets/task/bayesian-optimization"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["OCB"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}