| --- |
| license: cc-by-nc-4.0 |
| task_categories: |
| - time-series-forecasting |
| tags: |
| - physics |
| - fluid-dynamics |
| - pde |
| - sim2real |
| - piv |
| - neurips-2026 |
| pretty_name: RealPDE Competition Data (NeurIPS 2026) |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # RealPDE Competition Data (NeurIPS 2026) |
|
|
| Training data and baseline checkpoints for the [NeurIPS 2026 RealPDE |
| Competition](https://realpdecompetition.github.io/). This is a mirror of the |
| competition's Google Drive release, hosted here because the Drive link runs into |
| a per-file anonymous download quota when many people fetch it at once. |
|
|
| Both tracks share this release: |
|
|
| - **Track 1, Sim2Real** — [codabench.org/competitions/17363](https://www.codabench.org/competitions/17363/) |
| - **Track 2, LTTTA** — [codabench.org/competitions/17385](https://www.codabench.org/competitions/17385/) |
|
|
| ## Contents |
|
|
| ```text |
| train_sim.tar.gz simulated training trajectories, for pretraining |
| train_real.tar.gz real-world PIV training trajectories, for finetuning |
| example_data/3750_0.h5 one real trajectory, for checking shapes locally |
| baseline_checkpoints/ |
| pack_ckpt_fp16.py complex-safe fp16 packing helper |
| sim_pretrain/ CNO, FNO, FNO-fp16, Transolver, simulation only |
| sim_real_ft/ the same four, finetuned on real data |
| ``` |
|
|
| The hidden evaluation set is **not** part of this release and is not published |
| anywhere. It exists only inside the Codabench evaluation container. |
|
|
| ## Physical setting |
|
|
| Flow around a NACA4418 airfoil cross-section. Real measurements are |
| time-resolved Particle Image Velocimetry in a circulating tunnel; the simulated |
| split is matched 3D CFD under the same geometry and operating conditions. |
| Channels are `[u, v, p]`, and `p` is zero on real data because it is not |
| measured. Competition evaluation runs at `32 x 64` after 2x spatial |
| subsampling; the raw PIV fields are `64 x 128`. |
|
|
| `example_data/3750_0.h5` stores `u` and `v` at the top level with shape |
| `(T=868, 64, 128)`, plus scalars `aoa` and `re` and the grids `x`, `y`. Note the |
| training tarballs use a different layout, with `u` and `v` under |
| `measured_data/`. |
|
|
| ## Baseline checkpoints |
|
|
| All were trained with the [RealPDEBench](https://github.com/AI4Science-WestlakeU/RealPDEBench) |
| code. Sizes: CNO 32 MB, Transolver 50 MB, FNO 403 MB in fp32 and 201 MB packed |
| to fp16. Hyper-parameters should be read from the `state_dict` shapes rather |
| than from the repository's yaml configs, which are not reliable for these |
| checkpoints; the competition starting kit documents them. |
|
|
| FNO spectral weights are `complex64`, so a naive `.half()` breaks them. |
| `pack_ckpt_fp16.py` stores them as `view_as_real(t).half()` with a |
| `complex_keys` list, and the starting kit's `load_baseline.unpack_fp16` reads |
| that format back. |
|
|
| ## Using this in the competition |
|
|
| Competition rules require that training data come from this release. Model |
| weights trained from it are permitted, including the baseline checkpoints above. |
| Generating additional data, augmenting this release into extra training data, |
| and finetuning a model pretrained on anything else are not permitted, and the |
| rule is checked when the shortlisted teams are re-trained from scratch before |
| the final ranking. The Rules page of each track is authoritative. |
|
|
| ## License |
|
|
| Released for non-commercial research and competition use under CC BY-NC 4.0. Do |
| not redistribute the hidden validation or test data, which is not in this |
| release in any case. |
|
|
| ## Contact |
|
|
| realpde-competition@googlegroups.com, or the forum on either Codabench page. |
|
|
