Datasets › Diffckt Official Dataset
Diffckt Official Dataset
This Dataset is the official dataset accompanying the paper "DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits". Designed to advance automated analog circuit design, this dataset provides high-quality training and research resources for the field. Constructed based on the TSMC 65nm CMOS process, it contains over 400,000 pairs of amplifier structures and performance metrics .
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.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
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License archive 2025-07-28
MIT
Modalities archive 2025-07-28
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Languages archive 2025-07-28
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Variants archive 2025-07-28
- Diffckt Official Dataset
1 variant name, as the archive lists them.
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