Omkar2118/datasets huggingface 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 .

Introducing paper: DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits
GEdit-Bench-EN

This dataset is a new benchmark, grounded in real-world usages is developed to support more authentic and comprehensive evaluation of image editing models.

Introducing paper: Step1X-Edit: A Practical Framework for General Image Editing