metadata
license: apache-2.0
task_categories:
- reinforcement-learning
language:
- en
tags:
- eda
- analog
pretty_name: Osiris Dataset
Osiris: A Scalable Dataset Generation Pipeline for Machine Learning in Analog Circuit Design
Osiris is an end-to-end analog circuits design pipeline capable of producing, validating, and evaluating layouts for generic analog circuits.
The Osiris GitHub repository hosts the code that implements the randomized pipeline as well as the reinforcement learning-driven baseline methodology discussed in the paper proposed at the NeurIPS 2025 Datasets & Benchmarks Track.
The Osiris 🤗 HuggingFace repository hosts the randomly generated dataset discussed in the paper.
- Curated by: hardware-fab
- License: Open Data Commons License cc-by-4.0
How to Download
The dataset is stored in Osiris_Dataset.tar
.
from huggingface_hub import hf_hub_download
file_path = hf_hub_download(
repo_id="hardware-fab/osiris",
filename="Osiris_Dataset.tar",
repo_type="dataset",
local_dir=<download_path>
)
Note
This repository is protected by copyright and licensed under the Apache-2.0 license file.
© 2025 hardware-fab