SKLP-EDA-LAB/CircuitNet3.0
CircuitNet 3.0 Dataset This is the public dataset release for CircuitNet 3.0: A Multi-Modal Dataset with Task-Oriented Augmentation for AI-Driven Circuit Design. The code and documentation companion lives in sklp-eda-lab/iclr-circuitnet_3.0. CircuitNet 3.0 is a multi-stage, multi-modal dataset for AI-driven circuit design. It is intended to support early-stage timing and power prediction, along with cross-stage representation learning over RTL, netlist, and layout-oriented… See the full description on the dataset page: https://huggingface.co/datasets/SKLP-EDA-LAB/CircuitNet3.0.
| Author / organization | SKLP-EDA-LAB |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 253 (as reported by Hugging Face) |
| Likes | 7 |
| Created | 20 April 2026 |
| Last updated at source | 7 May 2026 |
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.