--- license: other license_name: mixed-cc-by-4.0-and-cc-by-nc-sa-4.0 license_link: LICENSE task_categories: - other language: - en tags: - turbulence - rans - cfd - openfoam - dns - les - benchmark pretty_name: "Closure Challenge v2 — CFD case files (heavy)" size_categories: - 10B__` are **domain dimensions, not Reynolds numbers**. `alpha_05_4071_2024` has streamwise extent x = 0 .. 4.071 and wall-normal extent y = 0 .. 2.024; `alpha_15_13929_4048` spans x = 0 .. 13.929 and y = 0 .. 4.048. The leading `alpha` value is the hill-slope parameter. ### NASA_2DWMH `NASA_2DWMH` is the NASA wall-mounted hump (2D), domain x = -0.851 .. 0.672, y = -0.420 .. 0.000, converged at t = 2000. Baseline is simpleFoam + kOmegaSST. ### Turbulence model All 14 baselines are `simpleFoam` (or `rhoSimpleFoam` / `rhoPimpleFoam` for the compressible cases) with `RAS kOmegaSST`, no ML correction. ## License This dataset aggregates material under two different licenses. See the `LICENSE` file at the repository root for the authoritative statement. - **CC-BY-4.0**: the 12 non-ERCOFTAC cases (`alpha_*`, `AR_*`, `NASA_*`), derived from public-domain or CC-BY upstream sources (NASA Turbulence Modeling Resource, Vinuesa duct database, Xiao parametric periodic-hill database). - **CC-BY-NC-SA-4.0**: `ERCOFTAC_AhmedBody25` and `ERCOFTAC_WingBodyJunction`, curated extracts of ERCOFTAC kbwiki material (Classic Collection case082; DNS 1-6), inheriting the upstream non-commercial and share-alike conditions. - **Code**: extraction, plotting, and run scripts (`*.py`, `*.sh`) are MIT. See `LICENSE-CODE` in the code repository. Hugging Face has no per-directory license field, so this repository declares `license: other` and records the split in `LICENSE`. The `configs` block above groups the two license scopes for readers and machine consumers; it does not itself carry licensing force. Per-case source attribution is in `SOURCES.md` of the code repository. ## Citation ```bibtex @inproceedings{closure_challenge_v2_neurips26, title={The Closure Challenge: A Benchmark Task for Machine Learning in Turbulence Modeling}, author={Anonymous}, booktitle={NeurIPS Datasets and Benchmarks Track (under review)}, year={2026} } ``` ## Croissant metadata A Croissant 1.0 metadata file is provided as `croissant.json` in this repository.