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license: other
#User-Defined Tags
tags:
- EAGLE
- CFD
- unsteady flow
language:
- en
- zh
---
<p align="center">
<strong>
<span style="font-size: 30px;">EAGLE</span>
</strong>
</p>
## Dataset Description
The EAGLE dataset is sourced from an ICLR 2023 paper and is designed for predicting two-dimensional unsteady turbulent flows on unstructured dynamic meshes. The data describes the velocity and pressure fields produced by interactions between a moving flow source and various ground geometries. It contains three types of geometric configurations: `Cre`, `Spl`, and `Tri`.
Paper: [EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers](https://arxiv.org/abs/2302.10803)
## Supported Tasks
| Scenario | Description |
|---|---|
| Turbulent-flow time-series prediction | Predict subsequent velocity and pressure fields from historical mesh states. |
| Dynamic mesh modeling | Learn fluid evolution on unstructured meshes. |
| Geometric generalization evaluation | Compare model performance across different ground geometries. |
| Mesh Transformer research | Provide data for models such as `OneScience/EagleMeshTransformer`. |
## Dataset Format and Structure
Samples are organized by geometry type, case, and run number:
```text
data/Eagle_dataset/<geometry>/<case>/<run>/
```
Each sample mainly contains:
| File | Contents | Description |
|---|---|---|
| `sim.npz` | `pointcloud`, `mask`, `VX`, `VY`, `PS`, `PG` | Node coordinates, types, velocity, and pressure-related fields. |
| `triangles.npy` | `[time, cells, 3]` | Triangular mesh cell indices. |
| `constrained_kmeans_*.npy` | Node clustering indices | Multiple clustering scales are provided; the default model uses 40. |
The dataset provides lists of training, validation, and test samples. Refer to `metadata/schema.yaml` for the shape and dtype of each field.
## How to Use the Dataset
This dataset is compatible with the `OneScience-Sugon/EagleMeshTransformer` model. Download the dataset and model:
```bash
hf download --dataset OneScience-Sugon/eagle --local-dir ./data
```
## Official OneScience Information
| Platform | OneScience Main Repository | Skills Repository |
|---|---|---|
| Gitee | https://gitee.com/onescience-ai/onescience | https://gitee.com/onescience-ai/oneskills |
| GitHub | https://github.com/onescience-ai/OneScience | https://github.com/onescience-ai/oneskills |
## Citation and License
- Original EAGLE paper: [EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers](https://arxiv.org/abs/2302.10803)
- This repository retains information about the data source and organizes the data for automated runs on OneScience ModelScope. Before public distribution or redistribution, confirm the licensing requirements of the upstream project.
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