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README.md ADDED
@@ -0,0 +1,84 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
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+ license: other
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+ #User-Defined Tags
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+ tags:
5
+ - Multi-Physics PDE Benchmark
6
+ - Surrogate Modeling
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+ language:
8
+ - en
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+ - zh
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+ ---
11
+ <p align="center">
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+ <strong>
13
+ <span style="font-size: 30px;">CFD Benchmark</span>
14
+ </strong>
15
+ </p>
16
+
17
+ ## Dataset Description
18
+
19
+ CFD Benchmark is a comprehensive benchmark dataset for training and evaluating neural PDE solvers. It contains six standard tasks on regular grids, structured grids, and irregular geometries. The dataset was used for unified evaluation in the ICML 2024 paper *Transolver*, and some of its data originates from the FNO and Geo-FNO works.
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+
21
+ The dataset contains six subsets: `airfoil`, `darcy`, `elasticity`, `ns`, `pipe`, and `plas`.
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+
23
+ Paper: [Transolver: A Fast Transformer Solver for PDEs on General Geometries](https://proceedings.mlr.press/v235/wu24r.html)
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+
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+ ## Supported Tasks
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+
27
+ | Subset | Task |
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+ |---|---|
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+ | `airfoil` | Steady-state airfoil flow-field prediction. |
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+ | `darcy` | Darcy equation solution-field prediction. |
31
+ | `elasticity` | Stress prediction for random-cell structures. |
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+ | `ns` | Navier-Stokes flow-field time-series prediction. |
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+ | `pipe` | Steady-state pipe flow-field prediction. |
34
+ | `plas` | Plasticity dynamics response prediction. |
35
+
36
+ ## Dataset Format and Structure
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+
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+ The data is located in the `data/` directory and organized by task:
39
+
40
+ ```text
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+ data/
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+ airfoil/
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+ darcy/
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+ elasticity/
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+ ns/
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+ pipe/
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+ plas/
48
+ ```
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+
50
+ The data files use NumPy NPY and MATLAB v5 formats. The Airfoil, Pipe, and Elasticity subsets contain grid coordinates, geometry, or flow-field arrays; the Darcy and Navier-Stokes subsets use MATLAB files to store coefficient and solution fields; and the Plasticity subset contains load inputs and response outputs over multiple time steps.
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+
52
+ See `metadata/schema.yaml` for the shape and dtype of each file and the MATLAB variable structures.
53
+
54
+ ## How to Use the Dataset
55
+
56
+ This dataset has been adapted for the `OneScience-Sugon/CFD_Benchmark` model. Download the dataset and model:
57
+
58
+ ```bash
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+ hf download --dataset OneScience-Sugon/cfd_benchmark --local-dir ./cfd_benchmark
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+ hf download --model OneScience-Sugon/CFD_Benchmark --local-dir ./CFD_Benchmark
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+ ```
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+
63
+ Quickly check file presence, sizes, and readability:
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+
65
+ ```bash
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+ cd cfd_benchmark
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+ python scripts/validate_dataset.py --skip-sha256
68
+ ```
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+
70
+ Remove `--skip-sha256` to perform a complete SHA256 validation.
71
+
72
+ ## Official OneScience Information
73
+
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+ | Platform | OneScience Main Repository | Skills Repository |
75
+ |---|---|---|
76
+ | Gitee | https://gitee.com/onescience-ai/onescience | https://gitee.com/onescience-ai/oneskills |
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+ | GitHub | https://github.com/onescience-ai/OneScience | https://github.com/onescience-ai/oneskills |
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+
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+ ## Citation and License
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+
81
+ - Six standard tasks: [Transolver](https://proceedings.mlr.press/v235/wu24r.html)
82
+ - Darcy and Navier-Stokes data source: [Fourier Neural Operator](https://openreview.net/forum?id=c8P9NQVtmnO)
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+ - Elasticity, Plasticity, Airfoil, and Pipe data source: [Geo-FNO](https://jmlr.org/papers/v24/23-0064.html)
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+ - This repository retains the data-source information. Before public distribution or redistribution, verify the licensing requirements with the upstream projects.
README_zh.md ADDED
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1
+ ---
2
+ license: other
3
+ #用户自定义标签
4
+ tags:
5
+ - Multi-Physics PDE Benchmark
6
+ - Surrogate Modeling
7
+ language:
8
+ - en
9
+ - zh
10
+ ---
11
+ <p align="center">
12
+ <strong>
13
+ <span style="font-size: 30px;">CFD Benchmark</span>
14
+ </strong>
15
+ </p>
16
+
17
+ ## 数据集描述
18
+
19
+ CFD Benchmark 是用于神经 PDE 求解器训练和评测的综合基准数据集,包含规则网格、结构化网格和非规则几何上的六类标准任务。该数据集被 ICML 2024 论文 *Transolver* 用于统一评测,部分数据来源于 FNO 和 Geo-FNO 工作。
20
+
21
+ 数据集包含 `airfoil`、`darcy`、`elasticity`、`ns`、`pipe` 和 `plas` 六个子集。
22
+
23
+ 论文:[Transolver: A Fast Transformer Solver for PDEs on General Geometries](https://proceedings.mlr.press/v235/wu24r.html)
24
+
25
+ ## 数据集支持的任务
26
+
27
+ | 子集 | 任务 |
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+ |---|---|
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+ | `airfoil` | 翼型稳态流场预测。 |
30
+ | `darcy` | Darcy 方程解场预测。 |
31
+ | `elasticity` | 随机单元结构应力预测。 |
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+ | `ns` | Navier-Stokes 流场时间序列预测。 |
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+ | `pipe` | 管道稳态流场预测。 |
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+ | `plas` | 塑性动力学响应预测。 |
35
+
36
+ ## 数据集的格式和结构
37
+
38
+ 数据位于 `data/` 目录,并按任务划分:
39
+
40
+ ```text
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+ data/
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+ airfoil/
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+ darcy/
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+ elasticity/
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+ ns/
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+ pipe/
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+ plas/
48
+ ```
49
+
50
+ 数据文件采用 NumPy NPY 和 MATLAB v5 格式。Airfoil、Pipe 和 Elasticity 子集包含网格坐标、几何或流场数组;Darcy 和 Navier-Stokes 子集使用 MATLAB 文件保存系数场和解场;Plasticity 子集包含载荷输入及多时间步响应输出。
51
+
52
+ 各文件的 shape、dtype 和 MATLAB 变量结构以 `metadata/schema.yaml` 为准。
53
+
54
+ ## 数据集使用方式
55
+
56
+ 本数据集适配 `OneScience-Sugon/CFD_Benchmark` 模型。下载数据集和模型:
57
+
58
+ ```bash
59
+ hf download --dataset OneScience-Sugon/cfd_benchmark --local-dir ./cfd_benchmark
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+ hf download --model OneScience-Sugon/CFD_Benchmark --local-dir ./CFD_Benchmark
61
+ ```
62
+
63
+ 快速检查文件存在性、大小和可读性:
64
+
65
+ ```bash
66
+ cd cfd_benchmark
67
+ python scripts/validate_dataset.py --skip-sha256
68
+ ```
69
+
70
+ 移除 `--skip-sha256` 可执行完整 SHA256 校验。
71
+
72
+ ## OneScience 官方信息
73
+
74
+ | 平台 | OneScience 主仓库 | Skills 仓库 |
75
+ |---|---|---|
76
+ | Gitee | https://gitee.com/onescience-ai/onescience | https://gitee.com/onescience-ai/oneskills |
77
+ | GitHub | https://github.com/onescience-ai/OneScience | https://github.com/onescience-ai/oneskills |
78
+
79
+ ## 引用与许可证
80
+
81
+ - 六项标准任务:[Transolver](https://proceedings.mlr.press/v235/wu24r.html)
82
+ - Darcy 与 Navier-Stokes 数据来源:[Fourier Neural Operator](https://openreview.net/forum?id=c8P9NQVtmnO)
83
+ - Elasticity、Plasticity、Airfoil 与 Pipe 数据来源:[Geo-FNO](https://jmlr.org/papers/v24/23-0064.html)
84
+ - 本仓库保留数据来源说明;公开分发或二次发布前,请根据上游项目确认许可证要求。
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+ name: cfd_benchmark
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+ domain: cfd
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+ - cfd
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+ - neural_pde_solver
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+ - benchmark
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+ - flow_field_prediction
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+ - unstructured_mesh
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+ - npy
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+ - mat
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+ output_formats: []
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+ summary: CFD_Benchmark 数据集的 ModelScope 标准数据包,本次包含 airfoil、darcy、elasticity、ns、pipe、plas 六个子集。
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+
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+ platform_resource:
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+ primary:
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+ platform: modelscope
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+ repo_id: OneScience/cfd_benchmark
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+ url: https://modelscope.cn/datasets/OneScience/cfd_benchmark
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+ revision: main
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+ readme_path: README.md
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+ platform: modelscope
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+ supported_execution:
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+ - local
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+ - local_slurm
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+ - remote_slurm
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+ onescience:
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+ repo: https://gitee.com/onescience-ai/onescience
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+ official_links:
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+ gitee:
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+ doc: https://gitee.com/onescience-ai/onescience-doc
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+ onescience: https://gitee.com/onescience-ai/onescience
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+ skills: https://gitee.com/onescience-ai/oneskills
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+ github:
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+ doc: https://github.com/onescience-ai/OneScience-doc
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+ onescience: https://github.com/onescience-ai/OneScience
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+ skills: https://github.com/onescience-ai/oneskills
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+ command: source ~/env.sh && bash install.sh cfd
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+ source_paths: []
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+ compatibility:
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+ examples_path: examples/cfd/CFD_Benchmark
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+ status: examples_compatible
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+
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+ runtime_package:
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+ kind: standard_runtime_package
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+ package_root: .
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+ standard_layout:
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+ config_dir: metadata
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+ checkpoint_dir: null
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+ data_dir: data
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+ output_dir: reports
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+ mode: direct_use
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+ - metadata/file_manifest.csv
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+ - metadata/schema.yaml
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+ - scripts/validate_dataset.py
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+ inference: null
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+ train: null
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+ finetune: null
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+ evaluate: null
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+ visualize: null
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+ deploy: null
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+
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+ files:
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+ model_files: []
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+ dataset_files:
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+ - id: cfd_benchmark_data
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+ path: data/
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+ role: train_data
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+ description_zh: 本次整理的 CFD_Benchmark 六个子集数据目录,包含 airfoil、darcy、elasticity、ns、pipe、plas。
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+ required: true
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+ required_for:
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+ - train
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+ - evaluate
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+ - preflight
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+ format: npy_mat
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+ source:
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+ platform: modelscope
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+ repo_id: OneScience/cfd_benchmark
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+ repo_type: dataset
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+ path: data/
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+ revision: main
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+ download_method: command_ref
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+ command_ref: commands.download.download_dataset
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+ local_path: session_workdir/cfd_cfd_benchmark_data/data/
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+ size: "约 8.2G"
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+ checksum: metadata/file_manifest.csv
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+ large_file: true
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+ - id: file_manifest
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+ path: metadata/file_manifest.csv
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+ role: checksum_manifest
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+ description_zh: 整理后每个数据文件的相对路径、字节数和 SHA256。
135
+ required: true
136
+ required_for:
137
+ - preflight
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+ format: csv
139
+ source:
140
+ platform: modelscope
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+ repo_id: OneScience/cfd_benchmark
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+ repo_type: dataset
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+ path: metadata/file_manifest.csv
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+ revision: main
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+ size: null
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+ large_file: false
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+ config_files:
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+ - id: schema
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+ path: metadata/schema.yaml
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+ role: schema
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+ description_zh: 记录 npy shape/dtype 和 MATLAB 文件变量结构。
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+ required: true
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+ required_for:
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+ - preflight
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+ - train
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+ - evaluate
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+ format: yaml
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+ source:
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+ platform: modelscope
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+ repo_id: OneScience/cfd_benchmark
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+ repo_type: dataset
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+ path: metadata/schema.yaml
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+ revision: main
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+ download_method: command_ref
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+ command_ref: commands.download.download_dataset
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+ local_path: session_workdir/cfd_cfd_benchmark_data/metadata/schema.yaml
171
+ checksum: null
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+ large_file: false
173
+ sample_files: []
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+
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+ dataset:
176
+ format:
177
+ - npy
178
+ - matlab_v5_mat
179
+ sample_unit: 不同子集的一个样本定义不同,airfoil/pipe 为一个几何流场样本,darcy/ns/plas 为一个 PDE 系数或时间序列样本,elasticity 为一个随机单元结构样本。
180
+ schema:
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+ path: metadata/schema.yaml
182
+ checksum_manifest:
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+ path: metadata/file_manifest.csv
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+ splits:
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+ train: 由 CFD_Benchmark 运行脚本通过 ntrain 或 train_ratio 切分。
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+ validation: null
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+ test: 由 CFD_Benchmark 运行脚本通过 ntest 或 train_ratio 切分。
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+ - evaluate
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+ - preflight
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+ platform: modelscope
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+ repo_id: OneScience/CFD_Benchmark
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+ repo_type: model
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+ url: https://modelscope.cn/models/OneScience/CFD_Benchmark
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+ revision: main
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+ readme_path: README.md
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+ manifest_path: manifest.yaml
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+ expected_local_path: ../cfd_cfd_benchmark_data/data
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+ adapter: scripts/standard_train_airfoil_transolver.sh
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+
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+ run_matrix:
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+ scenarios:
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+ - name: minimal_validation
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+ capability: preflight
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+ default: true
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+ required_datasets:
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+ - id: OneScience/cfd_benchmark
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+ role: train_data
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+ local_path: data/
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+ required_model_files: []
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+ command_refs:
221
+ - commands.preflight.validate_dataset
222
+ expected_outputs:
223
+ - reports/dataset_validation.json
224
+ prerequisites:
225
+ - 已下载数据集 OneScience/cfd_benchmark。
226
+ - name: cfd_benchmark_model_train
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+ capability: train
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+ required_datasets:
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+ - id: OneScience/cfd_benchmark
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+ role: train_data
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+ local_path: data/
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+ required_model_files:
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+ - OneScience/CFD_Benchmark runtime/
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+ command_refs:
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+ - commands.preflight.validate_dataset
236
+ expected_outputs:
237
+ - reports/dataset_validation.json
238
+ prerequisites:
239
+ - 下载并进入模型仓库 OneScience/CFD_Benchmark。
240
+
241
+ capabilities:
242
+ inference: false
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+ deploy: false
248
+ data_reading_validation: true
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+
250
+ commands:
251
+ download:
252
+ - name: download_dataset
253
+ description: 下载 CFD_Benchmark 数据集标准包。
254
+ cwd: .
255
+ command: modelscope download --dataset OneScience/cfd_benchmark --local_dir ./cfd_cfd_benchmark_data
256
+ required_files: []
257
+ required_env:
258
+ - MODELSCOPE_TOKEN
259
+ expected_outputs:
260
+ - path: cfd_cfd_benchmark_data/manifest.yaml
261
+ type: file
262
+ - path: cfd_cfd_benchmark_data/data/
263
+ type: directory
264
+ success_criteria:
265
+ - exit_code == 0
266
+ preflight:
267
+ - name: validate_dataset
268
+ description: 校验 14 个数据文件的存在性、大小、SHA256、npy shape/dtype 和 mat 变量结构。
269
+ cwd: .
270
+ command: source ~/env.sh && python scripts/validate_dataset.py --data-root data --file-manifest metadata/file_manifest.csv
271
+ required_files:
272
+ - scripts/validate_dataset.py
273
+ - metadata/file_manifest.csv
274
+ - data/
275
+ required_env:
276
+ - python
277
+ - numpy
278
+ - scipy
279
+ expected_outputs:
280
+ - path: reports/dataset_validation.json
281
+ type: file
282
+ success_criteria:
283
+ - exit_code == 0
284
+ prepare: []
285
+ inference: []
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+ train: []
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+ finetune: []
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+ evaluate: []
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+ visualize: []
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+ deploy: []
291
+
292
+ expected_outputs:
293
+ - path: reports/dataset_validation.json
294
+ type: json
295
+ description_zh: 数据文件完整性和可读性验证报告。
296
+ - path: metadata/file_manifest.csv
297
+ type: csv
298
+ description_zh: 文件名、大小和 SHA256 校验清单。
299
+ - path: metadata/schema.yaml
300
+ type: yaml
301
+ description_zh: 数据结构说明。
302
+
303
+ diagnostics:
304
+ - id: missing_file
305
+ symptom: validate_dataset.py 报告 status=missing。
306
+ cause: 数据下载不完整或放置目录错误。
307
+ fix: 重新执行 modelscope download --dataset OneScience/cfd_benchmark --local_dir ./cfd_cfd_benchmark_data。
308
+ - id: sha256_mismatch
309
+ symptom: validate_dataset.py 报告 status=sha256_mismatch。
310
+ cause: 文件损坏、复制中断或上传下载过程中内容变化。
311
+ fix: 删除对应文件后重新下载数据集,或用 metadata/source_file_manifest.csv 与源目录重新比对。
312
+ - id: scipy_missing
313
+ symptom: MATLAB 文件只完成 header_only 检查。
314
+ cause: 当前 Python 环境缺少 scipy。
315
+ fix: source ~/env.sh 后重跑验证;当前标准化过程中已用 scipy 生成 metadata/schema.yaml。
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+
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+ domain_extension:
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+ cfd:
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+ benchmark_name: CFD_Benchmark
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+ included_subsets:
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+ - NACA_Cylinder_Y.npy
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+ - NACA_Cylinder_Q.npy
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+ files:
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+ - piececonst_r421_N1024_smooth1.mat
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+ - piececonst_r421_N1024_smooth2.mat
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+ elasticity:
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+ files:
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+ - Meshes/Random_UnitCell_XY_10.npy
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+ - Meshes/Random_UnitCell_rr_10.npy
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+ - Meshes/Random_UnitCell_sigma_10.npy
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+ - Meshes/Random_UnitCell_theta_10.npy
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+ ns:
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+ files:
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+ - NavierStokes_V1e-5_N1200_T20.mat
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+ pipe:
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+ files:
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+ - Pipe_X.npy
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+ - Pipe_Y.npy
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+ - Pipe_Q.npy
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+ plas:
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+ files:
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+ - plas_N987_T20.mat
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+ skipped_source_subsets:
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+ - car
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+ - diffusion_sorption
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+ - id: OneScience/CFD_Benchmark
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+ role: train_data
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+ - train
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+ resource_ref:
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+ platform: modelscope
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+ repo_id: OneScience/CFD_Benchmark
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+ url: https://modelscope.cn/models/OneScience/CFD_Benchmark
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+ revision: main
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+ readme_path: README.md
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+ manifest_path: manifest.yaml
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+ expected_local_path: ../cfd_cfd_benchmark_data/data
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+ adapter: scripts/standard_train_airfoil_transolver.sh
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+ onescience_manifest_version: "0.1"
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+ resource_type: dataset
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+ resource:
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+ id: OneScience/cfd_benchmark
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+ name: cfd_benchmark
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+ domain: cfd
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+ domain_tags:
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+ - cfd
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+ - neural_pde_solver
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+ - benchmark
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+ task: cfd_operator_learning_dataset
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+ - flow_field_prediction
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+ - pde_operator_learning
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+ - data_reading_validation
16
+ modalities:
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+ - gridded_field
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+ - unstructured_mesh
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+ - npy
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+ - mat
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+ output_formats: []
23
+ summary: CFD_Benchmark 数据集的 ModelScope 标准数据包,本次包含 airfoil、darcy、elasticity、ns、pipe、plas 六个子集。
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+
25
+ platform_resource:
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+ primary:
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+ platform: modelscope
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+ repo_id: OneScience/cfd_benchmark
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+ repo_type: dataset
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+ url: https://modelscope.cn/datasets/OneScience/cfd_benchmark
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+ revision: main
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+ readme_path: README.md
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+
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+ website_integration:
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+ - local
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+ onescience:
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+ repo: https://gitee.com/onescience-ai/onescience
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+ gitee:
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+ doc: https://gitee.com/onescience-ai/onescience-doc
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+ onescience: https://gitee.com/onescience-ai/onescience
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+ skills: https://gitee.com/onescience-ai/oneskills
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+ github:
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+ doc: https://github.com/onescience-ai/OneScience-doc
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+ onescience: https://github.com/onescience-ai/OneScience
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+ skills: https://github.com/onescience-ai/oneskills
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+ install:
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+ command: source ~/env.sh && bash install.sh cfd
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+ compatibility:
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+ examples_path: examples/cfd/CFD_Benchmark
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+ status: examples_compatible
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+ runtime_package:
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+ kind: standard_runtime_package
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+ package_root: .
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+ standard_layout:
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+ workdir: .
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+ config_dir: metadata
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+ checkpoint_dir: null
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+ data_dir: data
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+ output_dir: reports
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+ apply_policy:
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+ - metadata/schema.yaml
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+ - scripts/validate_dataset.py
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+ deploy: null
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+ files:
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+ dataset_files:
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+ - id: cfd_benchmark_data
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+ path: data/
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+ role: train_data
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+ description_zh: 本次整理的 CFD_Benchmark 六个子集数据目录,包含 airfoil、darcy、elasticity、ns、pipe、plas。
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+ required: true
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+ required_for:
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+ - train
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+ - evaluate
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+ - preflight
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+ format: npy_mat
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+ source:
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+ platform: modelscope
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+ repo_id: OneScience/cfd_benchmark
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+ repo_type: dataset
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+ path: data/
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+ revision: main
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+ download_method: command_ref
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+ command_ref: commands.download.download_dataset
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+ local_path: session_workdir/cfd_cfd_benchmark_data/data/
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+ size: "约 8.2G"
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+ checksum: metadata/file_manifest.csv
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+ large_file: true
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+ - id: file_manifest
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+ path: metadata/file_manifest.csv
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+ role: checksum_manifest
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+ description_zh: 整理后每个数据文件的相对路径、字节数和 SHA256。
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+ required: true
136
+ required_for:
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+ - preflight
138
+ format: csv
139
+ source:
140
+ platform: modelscope
141
+ repo_id: OneScience/cfd_benchmark
142
+ repo_type: dataset
143
+ path: metadata/file_manifest.csv
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+ revision: main
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+ download_method: command_ref
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+ command_ref: commands.download.download_dataset
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+ size: null
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+ large_file: false
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+ config_files:
152
+ - id: schema
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+ path: metadata/schema.yaml
154
+ role: schema
155
+ description_zh: 记录 npy shape/dtype 和 MATLAB 文件变量结构。
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+ required: true
157
+ required_for:
158
+ - preflight
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+ - train
160
+ - evaluate
161
+ format: yaml
162
+ source:
163
+ platform: modelscope
164
+ repo_id: OneScience/cfd_benchmark
165
+ repo_type: dataset
166
+ path: metadata/schema.yaml
167
+ revision: main
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+ download_method: command_ref
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+ command_ref: commands.download.download_dataset
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+ local_path: session_workdir/cfd_cfd_benchmark_data/metadata/schema.yaml
171
+ checksum: null
172
+ large_file: false
173
+ sample_files: []
174
+
175
+ dataset:
176
+ format:
177
+ - npy
178
+ - matlab_v5_mat
179
+ sample_unit: 不同子集的一个样本定义不同,airfoil/pipe 为一个几何流场样本,darcy/ns/plas 为一个 PDE 系数或时间序列样本,elasticity 为一个随机单元结构样本。
180
+ schema:
181
+ path: metadata/schema.yaml
182
+ checksum_manifest:
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+ path: metadata/file_manifest.csv
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+ splits:
185
+ train: 由 CFD_Benchmark 运行脚本通过 ntrain 或 train_ratio 切分。
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+ validation: null
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+ test: 由 CFD_Benchmark 运行脚本通过 ntest 或 train_ratio 切分。
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+
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+ relations:
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+ required_datasets: []
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+ optional_datasets: []
192
+ compatible_models:
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+ - id: OneScience/CFD_Benchmark
194
+ role: train_data
195
+ required_for:
196
+ - train
197
+ - evaluate
198
+ - preflight
199
+ resource_ref:
200
+ platform: modelscope
201
+ repo_id: OneScience/CFD_Benchmark
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+ repo_type: model
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+ url: https://modelscope.cn/models/OneScience/CFD_Benchmark
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+ revision: main
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+ readme_path: README.md
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+ manifest_path: manifest.yaml
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+ expected_local_path: ../cfd_cfd_benchmark_data/data
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+ adapter: scripts/standard_train_airfoil_transolver.sh
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+
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+ run_matrix:
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+ scenarios:
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+ - name: minimal_validation
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+ capability: preflight
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+ default: true
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+ required_datasets:
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+ - id: OneScience/cfd_benchmark
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+ role: train_data
218
+ local_path: data/
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+ required_model_files: []
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+ command_refs:
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+ - commands.preflight.validate_dataset
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+ expected_outputs:
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+ - reports/dataset_validation.json
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+ prerequisites:
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+ - 已下载数据集 OneScience/cfd_benchmark。
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+ - name: cfd_benchmark_model_train
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+ capability: train
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+ required_datasets:
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+ - id: OneScience/cfd_benchmark
230
+ role: train_data
231
+ local_path: data/
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+ required_model_files:
233
+ - OneScience/CFD_Benchmark runtime/
234
+ command_refs:
235
+ - commands.preflight.validate_dataset
236
+ expected_outputs:
237
+ - reports/dataset_validation.json
238
+ prerequisites:
239
+ - 下载并进入模型仓库 OneScience/CFD_Benchmark。
240
+
241
+ capabilities:
242
+ inference: false
243
+ train: false
244
+ finetune: false
245
+ evaluate: false
246
+ visualize: false
247
+ deploy: false
248
+ data_reading_validation: true
249
+
250
+ commands:
251
+ download:
252
+ - name: download_dataset
253
+ description: 下载 CFD_Benchmark 数据集标准包。
254
+ cwd: .
255
+ command: modelscope download --dataset OneScience/cfd_benchmark --local_dir ./cfd_cfd_benchmark_data
256
+ required_files: []
257
+ required_env:
258
+ - MODELSCOPE_TOKEN
259
+ expected_outputs:
260
+ - path: cfd_cfd_benchmark_data/manifest.yaml
261
+ type: file
262
+ - path: cfd_cfd_benchmark_data/data/
263
+ type: directory
264
+ success_criteria:
265
+ - exit_code == 0
266
+ preflight:
267
+ - name: validate_dataset
268
+ description: 校验 14 个数据文件的存在性、大小、SHA256、npy shape/dtype 和 mat 变量结构。
269
+ cwd: .
270
+ command: source ~/env.sh && python scripts/validate_dataset.py --data-root data --file-manifest metadata/file_manifest.csv
271
+ required_files:
272
+ - scripts/validate_dataset.py
273
+ - metadata/file_manifest.csv
274
+ - data/
275
+ required_env:
276
+ - python
277
+ - numpy
278
+ - scipy
279
+ expected_outputs:
280
+ - path: reports/dataset_validation.json
281
+ type: file
282
+ success_criteria:
283
+ - exit_code == 0
284
+ prepare: []
285
+ inference: []
286
+ train: []
287
+ finetune: []
288
+ evaluate: []
289
+ visualize: []
290
+ deploy: []
291
+
292
+ expected_outputs:
293
+ - path: reports/dataset_validation.json
294
+ type: json
295
+ description_zh: 数据文件完整性和可读性验证报告。
296
+ - path: metadata/file_manifest.csv
297
+ type: csv
298
+ description_zh: 文件名、大小和 SHA256 校验清单。
299
+ - path: metadata/schema.yaml
300
+ type: yaml
301
+ description_zh: 数据结构说明。
302
+
303
+ diagnostics:
304
+ - id: missing_file
305
+ symptom: validate_dataset.py 报告 status=missing。
306
+ cause: 数据下载不完整或放置目录错误。
307
+ fix: 重新执行 modelscope download --dataset OneScience/cfd_benchmark --local_dir ./cfd_cfd_benchmark_data。
308
+ - id: sha256_mismatch
309
+ symptom: validate_dataset.py 报告 status=sha256_mismatch。
310
+ cause: 文件损坏、复制中断或上传下载过程中内容变化。
311
+ fix: 删除对应文件后重新下载数据集,或用 metadata/source_file_manifest.csv 与源目录重新比对。
312
+ - id: scipy_missing
313
+ symptom: MATLAB 文件只完成 header_only 检查。
314
+ cause: 当前 Python 环境缺少 scipy。
315
+ fix: source ~/env.sh 后重跑验证;当前标准化过程中已用 scipy 生成 metadata/schema.yaml。
316
+
317
+ domain_extension:
318
+ cfd:
319
+ benchmark_name: CFD_Benchmark
320
+ included_subsets:
321
+ airfoil:
322
+ files:
323
+ - NACA_Cylinder_X.npy
324
+ - NACA_Cylinder_Y.npy
325
+ - NACA_Cylinder_Q.npy
326
+ darcy:
327
+ files:
328
+ - piececonst_r421_N1024_smooth1.mat
329
+ - piececonst_r421_N1024_smooth2.mat
330
+ elasticity:
331
+ files:
332
+ - Meshes/Random_UnitCell_XY_10.npy
333
+ - Meshes/Random_UnitCell_rr_10.npy
334
+ - Meshes/Random_UnitCell_sigma_10.npy
335
+ - Meshes/Random_UnitCell_theta_10.npy
336
+ ns:
337
+ files:
338
+ - NavierStokes_V1e-5_N1200_T20.mat
339
+ pipe:
340
+ files:
341
+ - Pipe_X.npy
342
+ - Pipe_Y.npy
343
+ - Pipe_Q.npy
344
+ plas:
345
+ files:
346
+ - plas_N987_T20.mat
347
+ skipped_source_subsets:
348
+ - car
349
+ - diffusion_sorption
reports/dataset_validation.json ADDED
@@ -0,0 +1,383 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "ok": true,
3
+ "data_root": "data",
4
+ "file_manifest": "metadata/file_manifest.csv",
5
+ "checked_files": 14,
6
+ "results": [
7
+ {
8
+ "rel_path": "airfoil/NACA_Cylinder_Q.npy",
9
+ "exists": true,
10
+ "expected_size": 1122591728,
11
+ "expected_sha256": "f79dfdaa3be95a5183981531e59b5a372cf3dd69986109f45426b3eb5410c58c",
12
+ "actual_size": 1122591728,
13
+ "status": "ok",
14
+ "actual_sha256": "f79dfdaa3be95a5183981531e59b5a372cf3dd69986109f45426b3eb5410c58c",
15
+ "schema": {
16
+ "format": "npy",
17
+ "shape": [
18
+ 2490,
19
+ 5,
20
+ 221,
21
+ 51
22
+ ],
23
+ "dtype": "float64"
24
+ }
25
+ },
26
+ {
27
+ "rel_path": "airfoil/NACA_Cylinder_X.npy",
28
+ "exists": true,
29
+ "expected_size": 224518448,
30
+ "expected_sha256": "23902420694ba8552e427480aa6b26c08ea4e7e0b2454ee83cd9e1d29060f35f",
31
+ "actual_size": 224518448,
32
+ "status": "ok",
33
+ "actual_sha256": "23902420694ba8552e427480aa6b26c08ea4e7e0b2454ee83cd9e1d29060f35f",
34
+ "schema": {
35
+ "format": "npy",
36
+ "shape": [
37
+ 2490,
38
+ 221,
39
+ 51
40
+ ],
41
+ "dtype": "float64"
42
+ }
43
+ },
44
+ {
45
+ "rel_path": "airfoil/NACA_Cylinder_Y.npy",
46
+ "exists": true,
47
+ "expected_size": 224518448,
48
+ "expected_sha256": "710c77e42c3fe49edcfc951b59693511e12f5491f9dcb77a506f395178481155",
49
+ "actual_size": 224518448,
50
+ "status": "ok",
51
+ "actual_sha256": "710c77e42c3fe49edcfc951b59693511e12f5491f9dcb77a506f395178481155",
52
+ "schema": {
53
+ "format": "npy",
54
+ "shape": [
55
+ 2490,
56
+ 221,
57
+ 51
58
+ ],
59
+ "dtype": "float64"
60
+ }
61
+ },
62
+ {
63
+ "rel_path": "darcy/piececonst_r421_N1024_smooth1.mat",
64
+ "exists": true,
65
+ "expected_size": 1692307453,
66
+ "expected_sha256": "c8b1fd73a8bae85aa48afeb1fabd01204a03debe8e208524b72f615e13d2f664",
67
+ "actual_size": 1692307453,
68
+ "status": "ok",
69
+ "actual_sha256": "c8b1fd73a8bae85aa48afeb1fabd01204a03debe8e208524b72f615e13d2f664",
70
+ "schema": {
71
+ "format": "matlab_v5",
72
+ "variables": [
73
+ {
74
+ "name": "Kcoeff",
75
+ "shape": [
76
+ 1024,
77
+ 421,
78
+ 421
79
+ ],
80
+ "dtype": "double"
81
+ },
82
+ {
83
+ "name": "Kcoeff_x",
84
+ "shape": [
85
+ 1024,
86
+ 421,
87
+ 421
88
+ ],
89
+ "dtype": "double"
90
+ },
91
+ {
92
+ "name": "Kcoeff_y",
93
+ "shape": [
94
+ 1024,
95
+ 421,
96
+ 421
97
+ ],
98
+ "dtype": "double"
99
+ },
100
+ {
101
+ "name": "coeff",
102
+ "shape": [
103
+ 1024,
104
+ 421,
105
+ 421
106
+ ],
107
+ "dtype": "double"
108
+ },
109
+ {
110
+ "name": "sol",
111
+ "shape": [
112
+ 1024,
113
+ 421,
114
+ 421
115
+ ],
116
+ "dtype": "double"
117
+ }
118
+ ],
119
+ "metadata_mode": "scipy.io.whosmat"
120
+ }
121
+ },
122
+ {
123
+ "rel_path": "darcy/piececonst_r421_N1024_smooth2.mat",
124
+ "exists": true,
125
+ "expected_size": 1692748750,
126
+ "expected_sha256": "c6522cf6cb3a8c4818268b2b07464a85e55ecd7206a23b4b1ac435bfae2e3eb5",
127
+ "actual_size": 1692748750,
128
+ "status": "ok",
129
+ "actual_sha256": "c6522cf6cb3a8c4818268b2b07464a85e55ecd7206a23b4b1ac435bfae2e3eb5",
130
+ "schema": {
131
+ "format": "matlab_v5",
132
+ "variables": [
133
+ {
134
+ "name": "Kcoeff",
135
+ "shape": [
136
+ 1024,
137
+ 421,
138
+ 421
139
+ ],
140
+ "dtype": "double"
141
+ },
142
+ {
143
+ "name": "Kcoeff_x",
144
+ "shape": [
145
+ 1024,
146
+ 421,
147
+ 421
148
+ ],
149
+ "dtype": "double"
150
+ },
151
+ {
152
+ "name": "Kcoeff_y",
153
+ "shape": [
154
+ 1024,
155
+ 421,
156
+ 421
157
+ ],
158
+ "dtype": "double"
159
+ },
160
+ {
161
+ "name": "coeff",
162
+ "shape": [
163
+ 1024,
164
+ 421,
165
+ 421
166
+ ],
167
+ "dtype": "double"
168
+ },
169
+ {
170
+ "name": "sol",
171
+ "shape": [
172
+ 1024,
173
+ 421,
174
+ 421
175
+ ],
176
+ "dtype": "double"
177
+ }
178
+ ],
179
+ "metadata_mode": "scipy.io.whosmat"
180
+ }
181
+ },
182
+ {
183
+ "rel_path": "elasticity/Meshes/Random_UnitCell_XY_10.npy",
184
+ "exists": true,
185
+ "expected_size": 31104080,
186
+ "expected_sha256": "29c615b7c8b0ef94252e4def4cd9999653b8759104619eb728b91a1cac5b665f",
187
+ "actual_size": 31104080,
188
+ "status": "ok",
189
+ "actual_sha256": "29c615b7c8b0ef94252e4def4cd9999653b8759104619eb728b91a1cac5b665f",
190
+ "schema": {
191
+ "format": "npy",
192
+ "shape": [
193
+ 972,
194
+ 2,
195
+ 2000
196
+ ],
197
+ "dtype": "float64"
198
+ }
199
+ },
200
+ {
201
+ "rel_path": "elasticity/Meshes/Random_UnitCell_rr_10.npy",
202
+ "exists": true,
203
+ "expected_size": 672080,
204
+ "expected_sha256": "70dc9fae27e8f361c09b5f43d004d50b30bbdf9c8d62227fd001321c61573f78",
205
+ "actual_size": 672080,
206
+ "status": "ok",
207
+ "actual_sha256": "70dc9fae27e8f361c09b5f43d004d50b30bbdf9c8d62227fd001321c61573f78",
208
+ "schema": {
209
+ "format": "npy",
210
+ "shape": [
211
+ 42,
212
+ 2000
213
+ ],
214
+ "dtype": "float64"
215
+ }
216
+ },
217
+ {
218
+ "rel_path": "elasticity/Meshes/Random_UnitCell_sigma_10.npy",
219
+ "exists": true,
220
+ "expected_size": 15552080,
221
+ "expected_sha256": "eb8102b580001bab80ee99bfc33289f727491e1d8edab2a4a94abc37a348fa1a",
222
+ "actual_size": 15552080,
223
+ "status": "ok",
224
+ "actual_sha256": "eb8102b580001bab80ee99bfc33289f727491e1d8edab2a4a94abc37a348fa1a",
225
+ "schema": {
226
+ "format": "npy",
227
+ "shape": [
228
+ 972,
229
+ 2000
230
+ ],
231
+ "dtype": "float64"
232
+ }
233
+ },
234
+ {
235
+ "rel_path": "elasticity/Meshes/Random_UnitCell_theta_10.npy",
236
+ "exists": true,
237
+ "expected_size": 160080,
238
+ "expected_sha256": "3315da70a33a86757e4799fd92630fcb767193c2a4406b3f45cc6f19b00d56ac",
239
+ "actual_size": 160080,
240
+ "status": "ok",
241
+ "actual_sha256": "3315da70a33a86757e4799fd92630fcb767193c2a4406b3f45cc6f19b00d56ac",
242
+ "schema": {
243
+ "format": "npy",
244
+ "shape": [
245
+ 2000,
246
+ 10
247
+ ],
248
+ "dtype": "float64"
249
+ }
250
+ },
251
+ {
252
+ "rel_path": "ns/NavierStokes_V1e-5_N1200_T20.mat",
253
+ "exists": true,
254
+ "expected_size": 412877192,
255
+ "expected_sha256": "b4995d0180ec15f06878e17527fd3e08a8f504bbc059ee025caffad11a9a82c0",
256
+ "actual_size": 412877192,
257
+ "status": "ok",
258
+ "actual_sha256": "b4995d0180ec15f06878e17527fd3e08a8f504bbc059ee025caffad11a9a82c0",
259
+ "schema": {
260
+ "format": "matlab_v5",
261
+ "variables": [
262
+ {
263
+ "name": "a",
264
+ "shape": [
265
+ 1200,
266
+ 64,
267
+ 64
268
+ ],
269
+ "dtype": "single"
270
+ },
271
+ {
272
+ "name": "u",
273
+ "shape": [
274
+ 1200,
275
+ 64,
276
+ 64,
277
+ 20
278
+ ],
279
+ "dtype": "single"
280
+ },
281
+ {
282
+ "name": "t",
283
+ "shape": [
284
+ 1,
285
+ 20
286
+ ],
287
+ "dtype": "single"
288
+ }
289
+ ],
290
+ "metadata_mode": "scipy.io.whosmat"
291
+ }
292
+ },
293
+ {
294
+ "rel_path": "pipe/Pipe_Q.npy",
295
+ "exists": true,
296
+ "expected_size": 922577168,
297
+ "expected_sha256": "d1ed4458cfb47e490b3b2487deceb36e516449eca2566d22ef6e8b31492ae223",
298
+ "actual_size": 922577168,
299
+ "status": "ok",
300
+ "actual_sha256": "d1ed4458cfb47e490b3b2487deceb36e516449eca2566d22ef6e8b31492ae223",
301
+ "schema": {
302
+ "format": "npy",
303
+ "shape": [
304
+ 2310,
305
+ 3,
306
+ 129,
307
+ 129
308
+ ],
309
+ "dtype": "float64"
310
+ }
311
+ },
312
+ {
313
+ "rel_path": "pipe/Pipe_X.npy",
314
+ "exists": true,
315
+ "expected_size": 307525808,
316
+ "expected_sha256": "2ef591a0e3d69a54705a89fc656042bfe2a36abd387de5f24afeebd747527b6b",
317
+ "actual_size": 307525808,
318
+ "status": "ok",
319
+ "actual_sha256": "2ef591a0e3d69a54705a89fc656042bfe2a36abd387de5f24afeebd747527b6b",
320
+ "schema": {
321
+ "format": "npy",
322
+ "shape": [
323
+ 2310,
324
+ 129,
325
+ 129
326
+ ],
327
+ "dtype": "float64"
328
+ }
329
+ },
330
+ {
331
+ "rel_path": "pipe/Pipe_Y.npy",
332
+ "exists": true,
333
+ "expected_size": 307525808,
334
+ "expected_sha256": "2d140fb1293bb9f87aaf41424ec857e0e89b7925efbf50382f825602473c3ccb",
335
+ "actual_size": 307525808,
336
+ "status": "ok",
337
+ "actual_sha256": "2d140fb1293bb9f87aaf41424ec857e0e89b7925efbf50382f825602473c3ccb",
338
+ "schema": {
339
+ "format": "npy",
340
+ "shape": [
341
+ 2310,
342
+ 129,
343
+ 129
344
+ ],
345
+ "dtype": "float64"
346
+ }
347
+ },
348
+ {
349
+ "rel_path": "plas/plas_N987_T20.mat",
350
+ "exists": true,
351
+ "expected_size": 1613335719,
352
+ "expected_sha256": "b58681e7777531b34889da46b506d2f18845c5d7b194859394dfd958cf28178f",
353
+ "actual_size": 1613335719,
354
+ "status": "ok",
355
+ "actual_sha256": "b58681e7777531b34889da46b506d2f18845c5d7b194859394dfd958cf28178f",
356
+ "schema": {
357
+ "format": "matlab_v5",
358
+ "variables": [
359
+ {
360
+ "name": "input",
361
+ "shape": [
362
+ 987,
363
+ 101
364
+ ],
365
+ "dtype": "double"
366
+ },
367
+ {
368
+ "name": "output",
369
+ "shape": [
370
+ 987,
371
+ 101,
372
+ 31,
373
+ 20,
374
+ 4
375
+ ],
376
+ "dtype": "double"
377
+ }
378
+ ],
379
+ "metadata_mode": "scipy.io.whosmat"
380
+ }
381
+ }
382
+ ]
383
+ }
reports/source_target_integrity.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "ok": true,
3
+ "source_root": "/public/share/sugonhpcapp01/onestore/onedatasets/CFD_Benchmark",
4
+ "subsets": [
5
+ "airfoil",
6
+ "darcy",
7
+ "elasticity",
8
+ "ns",
9
+ "pipe",
10
+ "plas"
11
+ ],
12
+ "source_files": 14,
13
+ "target_files": 14,
14
+ "missing_in_target": [],
15
+ "extra_in_target": [],
16
+ "mismatched": []
17
+ }
scripts/validate_dataset.py ADDED
@@ -0,0 +1,126 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/usr/bin/env python3
2
+ """Validate CFD_Benchmark dataset files without loading full arrays into memory."""
3
+
4
+ from __future__ import annotations
5
+
6
+ import argparse
7
+ import csv
8
+ import hashlib
9
+ import json
10
+ from pathlib import Path
11
+ from typing import Any
12
+
13
+
14
+ def sha256_file(path: Path, chunk_size: int = 1024 * 1024 * 16) -> str:
15
+ digest = hashlib.sha256()
16
+ with path.open("rb") as handle:
17
+ for chunk in iter(lambda: handle.read(chunk_size), b""):
18
+ digest.update(chunk)
19
+ return digest.hexdigest()
20
+
21
+
22
+ def inspect_npy(path: Path) -> dict[str, Any]:
23
+ import numpy as np
24
+
25
+ array = np.load(path, mmap_mode="r")
26
+ return {"format": "npy", "shape": list(array.shape), "dtype": str(array.dtype)}
27
+
28
+
29
+ def inspect_mat(path: Path) -> dict[str, Any]:
30
+ info: dict[str, Any] = {"format": "matlab_v5", "variables": []}
31
+ try:
32
+ import scipy.io as scio
33
+
34
+ variables = []
35
+ for name, shape, dtype in scio.whosmat(path):
36
+ variables.append({"name": name, "shape": list(shape), "dtype": str(dtype)})
37
+ info["variables"] = variables
38
+ info["metadata_mode"] = "scipy.io.whosmat"
39
+ except Exception as exc: # scipy is optional for integrity-only checks.
40
+ info["metadata_mode"] = "header_only"
41
+ info["metadata_warning"] = f"scipy.io.whosmat unavailable: {type(exc).__name__}: {exc}"
42
+ with path.open("rb") as handle:
43
+ info["header_prefix"] = handle.read(64).decode("latin1", errors="replace")
44
+ return info
45
+
46
+
47
+ def load_manifest(path: Path) -> list[dict[str, str]]:
48
+ with path.open("r", newline="") as handle:
49
+ return list(csv.DictReader(handle))
50
+
51
+
52
+ def main() -> int:
53
+ parser = argparse.ArgumentParser()
54
+ parser.add_argument("--data-root", default="data", help="Dataset data root")
55
+ parser.add_argument(
56
+ "--file-manifest",
57
+ default="metadata/file_manifest.csv",
58
+ help="CSV with rel_path,size,sha256 entries",
59
+ )
60
+ parser.add_argument("--skip-sha256", action="store_true", help="Only check names and sizes")
61
+ parser.add_argument("--report", default="reports/dataset_validation.json")
62
+ args = parser.parse_args()
63
+
64
+ data_root = Path(args.data_root)
65
+ manifest_path = Path(args.file_manifest)
66
+ report_path = Path(args.report)
67
+ report_path.parent.mkdir(parents=True, exist_ok=True)
68
+
69
+ rows = load_manifest(manifest_path)
70
+ results = []
71
+ ok = True
72
+ for row in rows:
73
+ rel_path = row["rel_path"]
74
+ expected_size = int(row["size"])
75
+ expected_sha256 = row["sha256"]
76
+ path = data_root / rel_path
77
+ item: dict[str, Any] = {
78
+ "rel_path": rel_path,
79
+ "exists": path.exists(),
80
+ "expected_size": expected_size,
81
+ "expected_sha256": expected_sha256,
82
+ }
83
+ if not path.exists():
84
+ item["status"] = "missing"
85
+ ok = False
86
+ results.append(item)
87
+ continue
88
+
89
+ actual_size = path.stat().st_size
90
+ item["actual_size"] = actual_size
91
+ if actual_size != expected_size:
92
+ item["status"] = "size_mismatch"
93
+ ok = False
94
+ else:
95
+ item["status"] = "ok"
96
+
97
+ if not args.skip_sha256:
98
+ actual_sha256 = sha256_file(path)
99
+ item["actual_sha256"] = actual_sha256
100
+ if actual_sha256 != expected_sha256:
101
+ item["status"] = "sha256_mismatch"
102
+ ok = False
103
+
104
+ if path.suffix == ".npy":
105
+ item["schema"] = inspect_npy(path)
106
+ elif path.suffix == ".mat":
107
+ item["schema"] = inspect_mat(path)
108
+ results.append(item)
109
+
110
+ report = {
111
+ "ok": ok,
112
+ "data_root": str(data_root),
113
+ "file_manifest": str(manifest_path),
114
+ "checked_files": len(results),
115
+ "results": results,
116
+ }
117
+ report_path.write_text(json.dumps(report, indent=2, ensure_ascii=False) + "\n")
118
+ if ok:
119
+ print(f"DATASET_VALIDATION_OK checked_files={len(results)} report={report_path}")
120
+ return 0
121
+ print(f"DATASET_VALIDATION_FAILED report={report_path}")
122
+ return 1
123
+
124
+
125
+ if __name__ == "__main__":
126
+ raise SystemExit(main())