Delete README.md

Repo re-organization.

README.md

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----
-license: apache-2.0
-task_categories:
-- reinforcement-learning
-language:
-- en
-tags:
-- eda
-- analog
-pretty_name: Osiris Dataset
----
-<!-- This dataset card aims to be a base template for new datasets. 
-It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). -->
-
-# 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](https://github.com/hardware-fab/osiris) 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](https://huggingface.co/datasets/hardware-fab/osiris) hosts the randomly generated dataset discussed in the paper.
-
-- **Curated by:** hardware-fab
-- **License:** Open Data Commons License [cc-by-4.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/cc-by-4.0.md)
-
-## How to Download
-The dataset is stored in `Osiris_Dataset.tar`.
-```python 
-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](https://github.com/hardware-fab/chameleon/blob/main/LICENSE) file.
-
-© 2025 hardware-fab
-