pdenneval / onescience_run_manifest.yaml
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onescience_manifest_version: "0.1"
resource_type: dataset
resource:
id: OneScience/pdenneval
name: pdenneval
domain: cfd
domain_tags: [cfd, pde, pdebench, hdf5]
task: pdenneval_train_eval_dataset
task_tags: [train_data, eval_data, dataset_validation]
modalities: [gridded_field, pde_solution]
input_formats: [hdf5]
output_formats: [hdf5]
summary: PDENNEval 配套 HDF5 数据集,包含 2D Darcy Flow、1D Burgers 1D Advection 数据文件。
platform_resource:
primary:
platform: modelscope
repo_id: OneScience/pdenneval
repo_type: dataset
url: https://modelscope.cn/datasets/OneScience/pdenneval
revision: main
readme_path: README.md
manifest_path: onescience_run_manifest.yaml
mirrors: []
access:
visibility: public
license: unknown
website_integration:
enabled: true
click_target:
platform: modelscope
resource_url: https://modelscope.cn/datasets/OneScience/pdenneval
llm_handoff:
readme_required: true
manifest_required: true
download_readme_first: true
resolve_related_models: true
default_run_goal: dataset_validation
cwd_note: 如果使用 modelscope download --cache_dir 下载数据集,请先 cd 到实际下载后的数据集仓库根目录;模型侧将 ONESCIENCE_PDENNEVAL_DATA_DIR 指向本仓库 data 目录。
runtime:
enabled: true
onescience_domain: cfd
min_onescience_version: null
supported_execution: [local_dataset_validation, model_training_input, model_evaluation_input]
environment:
exported_env:
ONESCIENCE_PDENNEVAL_DATA_DIR: <dataset_repo_root>/data
dependencies:
python: ">=3.10"
python_packages: [h5py, numpy, pyyaml]
onescience:
repo: https://gitee.com/onescience-ai/onescience
official_links:
gitee:
doc: https://gitee.com/onescience-ai/onescience-doc
onescience: https://gitee.com/onescience-ai/onescience
skills: https://gitee.com/onescience-ai/oneskills
github:
doc: https://github.com/onescience-ai/OneScience-doc
onescience: https://github.com/onescience-ai/OneScience
skills: https://github.com/onescience-ai/oneskills
install:
required_by_default: false
command: bash install.sh cfd
source_paths:
- onescience/src/onescience/datapipes/cfd/PDENNEval.py
compatibility:
examples_path: onescience/examples/cfd/PDENNEval
status: examples_compatible
datapipe: onescience.datapipes.cfd.PDENNEval
runtime_package:
kind: standard_runtime_package
package_root: .
standard_layout:
workdir: .
data_dir: data
metadata_dir: metadata
output_dir: validation_outputs
apply_policy:
mode: direct_use
target: session_workdir
overwrite: false
protect_installed_onescience: true
entry_files:
- data/2D_DarcyFlow_beta0.1_Train.hdf5
- data/1D_Burgers_Sols_Nu0.001.hdf5
- metadata/pdenneval_schema.json
- scripts/validate_pdenneval_dataset.py
- files_sha256.jsonl
entrypoints:
preflight: scripts/validate_pdenneval_dataset.py
validate: scripts/validate_pdenneval_dataset.py
inference: null
train: null
finetune: null
evaluate: null
visualize: null
deploy: null
files:
model_files: []
dataset_files:
- path: data/2D_DarcyFlow_beta0.1_Train.hdf5
role: train_eval_data
description_zh: 2D Darcy Flow HDF5 数据,包含 nu 系数场、tensor 解场和 x/y 坐标。
required: true
required_for: [dataset_validation, train, evaluate]
source: {platform: modelscope, repo_id: OneScience/pdenneval, repo_type: dataset, download_method: command_ref, command_ref: commands.download.download_dataset}
local_path: data/2D_DarcyFlow_beta0.1_Train.hdf5
sha256: 74bbdf8b5db9cfd36168b003114673261337fd0422fa492ab1cb0c79f5d157e8
size: 1310724488
- path: data/1D_Burgers_Sols_Nu0.001.hdf5
role: train_eval_data
description_zh: 1D Burgers HDF5 数据,包含 tensor 解场、x 坐标和 t 坐标。
required: true
required_for: [dataset_validation, train, evaluate]
source: {platform: modelscope, repo_id: OneScience/pdenneval, repo_type: dataset, download_method: command_ref, command_ref: commands.download.download_dataset}
local_path: data/1D_Burgers_Sols_Nu0.001.hdf5
sha256: afeeed1c40ce01d2ba5e1702f4f66b6bf95c65943eb0e4847691e9a10d1cb50d
size: 8232968312
- path: data/1D_Advection_Sols_beta1.0.hdf5
role: supplemental_data
description_zh: 1D Advection 可读 HDF5 数据,当前不作为默认模型运行场景。
required: false
required_for: [research_reference]
source: {platform: modelscope, repo_id: OneScience/pdenneval, repo_type: dataset, download_method: command_ref, command_ref: commands.download.download_dataset}
local_path: data/1D_Advection_Sols_beta1.0.hdf5
sha256: 0ccd649b1d5ecca8a5ae417a506dec5ef57ea365f7bce46afa190d34fe02dcc7
size: 4136968376
- path: files_sha256.jsonl
role: file_size_sha256_inventory
description_zh: 标准化数据文件的大小和 SHA256 清单,用于完整性校验。
required: true
required_for: [dataset_validation]
source: {platform: modelscope, repo_id: OneScience/pdenneval, repo_type: dataset, download_method: command_ref, command_ref: commands.download.download_dataset}
local_path: files_sha256.jsonl
- path: data_integrity_summary.json
role: source_to_standardized_integrity_summary
description_zh: 原始数据与标准化数据的文件名、大小、SHA256 对照摘要。
required: true
required_for: [dataset_validation]
source: {platform: modelscope, repo_id: OneScience/pdenneval, repo_type: dataset, download_method: command_ref, command_ref: commands.download.download_dataset}
local_path: data_integrity_summary.json
config_files:
- path: metadata/pdenneval_schema.json
role: dataset_schema
description_zh: 描述 PDENNEval HDF5 文件、字段、shape、dtype 和默认模型配置关系。
required: true
required_for: [dataset_validation, train, evaluate]
source: {platform: modelscope, repo_id: OneScience/pdenneval, repo_type: dataset, download_method: command_ref, command_ref: commands.download.download_dataset}
local_path: metadata/pdenneval_schema.json
sample_files:
- path: scripts/validate_pdenneval_dataset.py
role: dataset_validation_entry
description_zh: 数据集读取验证脚本,检查 HDF5 schema、可读性、文件大小和可选 SHA256。
required: true
required_for: [dataset_validation]
source: {platform: modelscope, repo_id: OneScience/pdenneval, repo_type: dataset, download_method: command_ref, command_ref: commands.download.download_dataset}
local_path: scripts/validate_pdenneval_dataset.py
dataset:
format: [hdf5]
sample_unit: 一个 PDE case 的时空网格解场或系数场。
schema:
path: metadata/pdenneval_schema.json
splits:
train: 由模型 datapipe 按配置内部切分。
validation: 由模型 datapipe 按配置内部切分。
test: null
relations:
required_datasets: []
optional_datasets: []
compatible_models:
- id: OneScience/PDENNEval
role: train_data
required_for: [preflight, train, evaluate]
resource_ref:
platform: modelscope
repo_id: OneScience/PDENNEval
repo_type: model
url: https://modelscope.cn/models/OneScience/PDENNEval
revision: main
readme_path: README.md
manifest_path: onescience_run_manifest.yaml
expected_local_path: session_workdir/data
expected_env: ONESCIENCE_PDENNEVAL_DATA_DIR
run_matrix:
scenarios:
- name: validate_hdf5_schema
capability: dataset_validation
default: true
required_datasets:
- id: OneScience/pdenneval
role: train_data
local_path: data
required_model_files: []
required_dataset_files:
- data/2D_DarcyFlow_beta0.1_Train.hdf5
- data/1D_Burgers_Sols_Nu0.001.hdf5
- metadata/pdenneval_schema.json
preconditions: [当前工作目录为数据集仓库根目录。]
command_refs: [commands.preflight.validate_dataset]
outputs:
- "控制台输出 [OK] dataset validation completed"
- name: validate_integrity_full_hash
capability: dataset_validation
default: false
required_datasets:
- id: OneScience/pdenneval
role: train_data
local_path: data
required_model_files: []
required_dataset_files: [files_sha256.jsonl, data/*.hdf5]
preconditions: [当前工作目录为数据集仓库根目录。]
command_refs: [commands.preflight.validate_dataset_full_hash]
outputs:
- "控制台输出 checksum manifest verified in size+sha256 mode"
- name: provide_to_pdenneval_model
capability: train
default: true
required_datasets:
- id: OneScience/pdenneval
role: train_data
local_path: data
required_model_files: [OneScience/PDENNEval:conf/fno_2d_darcy.yaml]
required_dataset_files:
- data/2D_DarcyFlow_beta0.1_Train.hdf5
- data/1D_Burgers_Sols_Nu0.001.hdf5
preconditions:
- 模型仓库 OneScience/PDENNEval 已下载。
- 设置 ONESCIENCE_PDENNEVAL_DATA_DIR 为本仓库 data 目录。
command_refs: [commands.prepare.export_dataset_env]
outputs:
- 模型侧 scripts/preflight_check.py 可以读取数据集。
capabilities:
dataset_validation: true
train_input: true
evaluation_input: true
inference_input: false
preflight: true
inference: false
train: false
finetune: false
evaluate: false
visualize: false
deploy: false
commands:
download:
- name: download_dataset
command: modelscope download --dataset OneScience/pdenneval
cwd: session_workdir
- name: download_model
command: modelscope download --model OneScience/PDENNEval
cwd: session_workdir
prepare:
- name: export_dataset_env
command: export ONESCIENCE_PDENNEVAL_DATA_DIR=/path/to/OneScience/pdenneval/data
cwd: .
preflight:
- name: validate_dataset
command: python scripts/validate_pdenneval_dataset.py
cwd: .
- name: validate_dataset_full_hash
command: python scripts/validate_pdenneval_dataset.py --full-hash
cwd: .
inference: []
train: []
finetune: []
evaluate: []
visualize: []
deploy: []
expected_outputs:
- path: validation_outputs/
type: directory
description_zh: 预留的数据读取验证输出目录;默认验证命令主要输出控制台 OK/FAIL。
diagnostics:
- name: missing_hdf5
match: "missing expected HDF5 file"
severity: error
fix_zh: 确认已完整下载 OneScience/pdenneval,并在数据集仓库根目录执行验证脚本。
- name: hdf5_schema_mismatch
match: "missing dataset"
severity: error
fix_zh: 数据文件结构与 Manifest 不一致,重新下载或检查文件是否被替换。
- name: checksum_mismatch
match: "sha256 mismatch"
severity: error
fix_zh: 文件内容与上传清单不一致,重新下载数据集。
- name: dependency_missing
match: "ModuleNotFoundError"
severity: error
fix_zh: 安装 h5py、numpy PyYAML。
domain_extension:
cfd:
equation_families: [darcy_flow, burgers, advection]
benchmark_family: PDEBench
data_format: HDF5
default_model: OneScience/PDENNEval
notes:
- 1D_Advection_Sols_beta1.0.hdf5 随包上传但不作为默认运行场景。