beno / onescience_run_manifest.yaml
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onescience_manifest_version: "0.1"
resource_type: dataset
resource:
id: OneScience/beno
name: beno
domain: cfd
domain_tags:
- cfd
- elliptic_pde
- boundary_condition
task: elliptic_pde_surrogate_dataset
task_tags:
- train_data
- eval_data
- inference_input
- dataset_validation
modalities:
- gridded_field
- boundary_condition
input_formats:
- npy
output_formats:
- npy
summary: BENO 椭圆 PDE 数据集,包含 Dirichlet Neumann 边界下的 32x32 网格 RHS、SOL、BC NPY 文件。
platform_resource:
primary:
platform: modelscope
repo_id: OneScience/beno
repo_type: dataset
url: https://modelscope.cn/datasets/OneScience/beno
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/beno
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_BENO_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_inference_input
environment:
exported_env:
ONESCIENCE_BENO_DATA_DIR: <dataset_repo_root>/data
dependencies:
python: ">=3.10"
python_packages:
- 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/beno.py
compatibility:
examples_path: onescience/examples/cfd/BENO
status: examples_compatible
datapipe: onescience.datapipes.cfd.BENODatapipe
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/Dirichlet/RHS_N32_4c_all.npy
- data/Dirichlet/SOL_N32_4c_all.npy
- data/Dirichlet/BC_N32_4c_all.npy
- metadata/beno_schema.json
- scripts/validate_beno_dataset.py
- files_sha256.jsonl
entrypoints:
preflight: scripts/validate_beno_dataset.py
validate: scripts/validate_beno_dataset.py
inference: null
train: null
finetune: null
evaluate: null
visualize: null
deploy: null
files:
model_files: []
dataset_files:
- path: data/Dirichlet/*.npy
role: train_eval_inference_data
description_zh: Dirichlet 边界条件下的 BENO NPY 数据文件,包含 RHS、SOL、BC 三类数组和 6 个几何前缀。
required: true
required_for: [dataset_validation, train, inference, evaluate]
source:
platform: modelscope
repo_id: OneScience/beno
repo_type: dataset
download_method: command_ref
command_ref: commands.download.download_dataset
local_path: data/Dirichlet
- path: data/Neumann/*.npy
role: additional_boundary_data
description_zh: Neumann 边界条件下的 BENO NPY 数据文件,可用于扩展训练或对比实验。
required: true
required_for: [dataset_validation]
source:
platform: modelscope
repo_id: OneScience/beno
repo_type: dataset
download_method: command_ref
command_ref: commands.download.download_dataset
local_path: data/Neumann
- path: files_sha256.jsonl
role: file_size_sha256_inventory
description_zh: 整理后数据文件的大小和 SHA256 清单,用于完整性校验。
required: true
required_for: [dataset_validation]
source:
platform: modelscope
repo_id: OneScience/beno
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: 原始数据与整理后数据的文件名、大小、SHA256 对照摘要。
required: true
required_for: [dataset_validation]
source:
platform: modelscope
repo_id: OneScience/beno
repo_type: dataset
download_method: command_ref
command_ref: commands.download.download_dataset
local_path: data_integrity_summary.json
config_files:
- path: metadata/beno_schema.json
role: dataset_schema
description_zh: 描述 BENO 数据文件命名、shape、dtype 和默认模型子集。
required: true
required_for: [dataset_validation, train, inference]
source:
platform: modelscope
repo_id: OneScience/beno
repo_type: dataset
download_method: command_ref
command_ref: commands.download.download_dataset
local_path: metadata/beno_schema.json
sample_files:
- path: scripts/validate_beno_dataset.py
role: dataset_validation_entry
description_zh: 数据集读取验证脚本,检查文件结构、shape、dtype、可读性、统计清单和可选 SHA256。
required: true
required_for: [dataset_validation]
source:
platform: modelscope
repo_id: OneScience/beno
repo_type: dataset
download_method: command_ref
command_ref: commands.download.download_dataset
local_path: scripts/validate_beno_dataset.py
relations:
required_datasets: []
optional_datasets: []
compatible_models:
- id: OneScience/BENO
role: train_data
required_for: [train, inference, evaluate, visualize]
resource_ref:
platform: modelscope
repo_id: OneScience/BENO
repo_type: model
url: https://modelscope.cn/models/OneScience/BENO
revision: main
readme_path: README.md
manifest_path: onescience_run_manifest.yaml
expected_local_path: session_workdir/data
expected_env: ONESCIENCE_BENO_DATA_DIR
run_matrix:
scenarios:
- name: validate_structure
capability: dataset_validation
default: true
required_datasets:
- id: OneScience/beno
role: train_data
local_path: data
required_model_files: []
required_dataset_files:
- data/Dirichlet/*.npy
- data/Neumann/*.npy
- metadata/beno_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/beno
role: train_data
local_path: data
required_model_files: []
required_dataset_files:
- files_sha256.jsonl
- data/Dirichlet/*.npy
- data/Neumann/*.npy
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_beno_model
capability: train
default: true
required_datasets:
- id: OneScience/beno
role: train_data
local_path: data
required_model_files:
- OneScience/BENO:conf/beno.yaml
required_dataset_files:
- data/Dirichlet/RHS_N32_4c_all.npy
- data/Dirichlet/SOL_N32_4c_all.npy
- data/Dirichlet/BC_N32_4c_all.npy
preconditions:
- 模型仓库 OneScience/BENO 已下载。
- 设置 ONESCIENCE_BENO_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
inference_input: true
evaluation_input: true
visualization_input: true
preflight: true
inference: false
train: false
finetune: false
evaluate: false
visualize: false
deploy: false
commands:
download:
- name: download_dataset
command: modelscope download --dataset OneScience/beno
cwd: session_workdir
- name: download_model
command: modelscope download --model OneScience/BENO
cwd: session_workdir
prepare:
- name: export_dataset_env
command: export ONESCIENCE_BENO_DATA_DIR=/path/to/OneScience_beno/data
cwd: .
preflight:
- name: validate_dataset
command: python scripts/validate_beno_dataset.py
cwd: .
- name: validate_dataset_full_hash
command: python scripts/validate_beno_dataset.py --full-hash
cwd: .
inference: []
train: []
finetune: []
evaluate: []
visualize: []
deploy: []
expected_outputs:
- name: validate_dataset
paths: []
success_criteria:
- 控制台输出 [OK] dataset validation completed
- name: validate_dataset_full_hash
paths:
- files_sha256.jsonl
success_criteria:
- 控制台输出 checksum manifest verified in size+sha256 mode: 36 files
- name: model_consumption
paths: []
success_criteria:
- 模型包 scripts/preflight_check.py 通过数据路径和 schema 检查。
diagnostics:
- name: missing_data_root
symptom: dataset data root does not exist
action: 确认当前目录为 OneScience/beno 数据集仓库根目录,且 data 目录存在。
- name: missing_npy
symptom: missing required NPY files
action: 对照 files_sha256.jsonl 重新上传或重新下载缺失文件。
- name: shape_mismatch
symptom: shape mismatch dtype mismatch
action: 确认没有用其他分辨率或其他 BENO 数据覆盖当前文件。
- name: checksum_mismatch
symptom: sha256 mismatch
action: 删除损坏文件后重新下载 OneScience/beno。
- name: model_cannot_find_data
symptom: 模型侧报告 ONESCIENCE_BENO_DATA_DIR is not set Data file not found
action: ONESCIENCE_BENO_DATA_DIR 设置为本仓库 data 目录,而不是仓库根目录或 data/Dirichlet。
domain_extension:
cfd:
dataset_family: BENO
physics: elliptic partial differential equation
boundary_types:
- Dirichlet
- Neumann
prefixes:
- N32_0c
- N32_1c
- N32_2c
- N32_3c
- N32_4c
- N32_mix
file_count: 36
total_size_bytes: 540676608
resolution: 32
samples_per_file: 1000
schema:
BC:
shape: [1000, 128, 4]
dtype: float64
note: 当前 OneScience BENO datapipe 使用通道 0:2 和通道 2;通道 3 在原始数据中为 NaN 占位,验证脚本会记录警告但不视为损坏。
RHS:
shape: [1000, 1024, 4]
dtype: float64
SOL:
shape: [1000, 1024, 1]
dtype: float64