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OneScience-Group/eagle

EAGLE 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… See the full description on the dataset page: https://huggingface.co/datasets/OneScience-Group/eagle.

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Dataset Card

EAGLE

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

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-Group/EagleMeshTransformer model. Download the dataset and model:

bash

hf download --dataset OneScience-Group/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
—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.