AiEDA/iDATA

iDATA是一个用于AI + EDA任务的芯片设计数据集，可用于芯片设计PPA预测、PPA感知的物理设计等相关任务。数据集包括综合网表文件、SDC文件以及布局和布线阶段的向量。数据集的目录结构包括综合网表、布局和布线，其中还包括SPEF文件和向量的子目录。数据集包括各种设计策略的特征数据，例如面积优化、PPA平衡、无优化、功耗优化和时序优化。向量目录包含每个策略设计的特征数据。数据集是从oscc-ip、iscas89、OpenRoad和OpenLane收集的源数据创建的，并使用AiEDA工具包进行处理。数据集包括网和路径的基础数据，并提供其数据结构、字段描述和用途的详细说明。数据以JSON格式存储，并提供物理设计分析、时序分析、DRC检查、功耗估计、布线密度和拥塞分析以及机器学习模型训练的全面信息。

iDATA is a dataset for chip design PPA prediction and PPA-aware physical design. It includes synthesized netlist files, SDC files, and vectors for both the placement and routing stages. The dataset is structured with directories for synthesized netlists, placement, and routing, with additional subdirectories for SPEF files and vectors. The dataset includes various features for each design strategy, such as area effort, PPA balance, no optimization, power effort, and timing effort. The vectors directory contains feature data for each strategy design. The dataset is created from source data collected from oscc-ip, iscas89, OpenRoad, and OpenLane, and processed using the AiEDA toolkit. The dataset includes foundational data for nets and paths, with detailed descriptions of their data structures, field descriptions, and usage. The data is stored in JSON format and provides comprehensive information for physical design analysis, timing analysis, DRC checks, power estimation, routing density and congestion analysis, and training machine learning models.