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- Page under construction
+# PLAID Datasets Overview
+
+At the heart of PLAID is the seemless exchange of dataset for streamlined collaboration. Corresponding datasets are provided at [HuggingFace](https://huggingface.co/PLAID-datasets) and in a [Zenodo community](https://zenodo.org/communities/plaid_datasets).
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+[PLAID‑datasets](https://huggingface.co/PLAID-datasets) is a curated collection of physics‑based datasets formatted with the **PLAID** data model. Each dataset represents a computational physics or structural mechanics problem defined on unstructured meshes and is suitable for **graph machine‑learning** applications. The datasets contain mesh data together with scalar and field quantities (e.g., pressure, displacement and turbulence variables) and come with predefined train/test splits to support machine‑learning tasks. They were all generated using the PLAID library and datamodel and are released under open licences. See also [PLAID's official documentation](https://plaid-lib.readthedocs.io/en/stable/source/plaid_benchmarks.html#) for more information.
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