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resource_type: dataset
resource:
id: OneScience/cfdbench
name: cfdbench
domain: cfd
domain_tags: [cfd, fluid_dynamics, benchmark]
task: cfd_surrogate_benchmark_dataset
task_tags: [train_data, eval_data, inference_input, dataset_validation]
modalities: [gridded_field, velocity_field, case_parameters]
input_formats: [npy, json, png]
output_formats: [npy, json, png]
summary: CFDBench 插值数据集,包含 cavity、tube、dam、cylinder 四类 CFD 问题及 bc/geo/prop 子集。
platform_resource:
primary:
platform: modelscope
repo_id: OneScience/cfdbench
repo_type: dataset
url: https://modelscope.cn/datasets/OneScience/cfdbench
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/cfdbench
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_CFDBENCH_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_CFDBENCH_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/cfdbench.py
compatibility:
examples_path: onescience/examples/cfd/CFDBench
status: examples_compatible
datapipe: onescience.datapipes.cfd.CFDBenchDatapipe
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/tube/prop/case0050/u.npy
- data/tube/prop/case0050/v.npy
- data/tube/prop/case0050/case.json
- metadata/cfdbench_schema.json
- scripts/validate_cfdbench_dataset.py
- files_sha256.jsonl
entrypoints:
preflight: scripts/validate_cfdbench_dataset.py
validate: scripts/validate_cfdbench_dataset.py
inference: null
train: null
finetune: null
evaluate: null
visualize: null
deploy: null
files:
model_files: []
dataset_files:
- path: data/<problem>/<subset>/case*/case.json
role: case_metadata
description_zh: 每个 CFD case 的物理参数、边界条件和几何参数元数据。
required: true
required_for: [dataset_validation, train, inference, evaluate]
source: {platform: modelscope, repo_id: OneScience/cfdbench, repo_type: dataset, download_method: command_ref, command_ref: commands.download.download_dataset}
local_path: data/<problem>/<subset>/case*/case.json
- path: data/<problem>/<subset>/case*/u.npy
role: velocity_u_field
description_zh: 64x64 网格上的 u 速度时间序列数组。
required: true
required_for: [dataset_validation, train, inference, evaluate]
source: {platform: modelscope, repo_id: OneScience/cfdbench, repo_type: dataset, download_method: command_ref, command_ref: commands.download.download_dataset}
local_path: data/<problem>/<subset>/case*/u.npy
- path: data/<problem>/<subset>/case*/v.npy
role: velocity_v_field
description_zh: 64x64 网格上的 v 速度时间序列数组。
required: true
required_for: [dataset_validation, train, inference, evaluate]
source: {platform: modelscope, repo_id: OneScience/cfdbench, repo_type: dataset, download_method: command_ref, command_ref: commands.download.download_dataset}
local_path: data/<problem>/<subset>/case*/v.npy
- 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/cfdbench, 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/cfdbench, repo_type: dataset, download_method: command_ref, command_ref: commands.download.download_dataset}
local_path: data_integrity_summary.json
config_files:
- path: metadata/cfdbench_schema.json
role: dataset_schema
description_zh: 描述 CFDBench 目录结构、case 文件、数组格式、子集统计和默认模型子集。
required: true
required_for: [dataset_validation, train, inference]
source: {platform: modelscope, repo_id: OneScience/cfdbench, repo_type: dataset, download_method: command_ref, command_ref: commands.download.download_dataset}
local_path: metadata/cfdbench_schema.json
sample_files:
- path: scripts/validate_cfdbench_dataset.py
role: dataset_validation_entry
description_zh: 数据集读取验证脚本,检查目录结构、case.json、u/v NPY shape、dtype、可读性和可选 SHA256。
required: true
required_for: [dataset_validation]
source: {platform: modelscope, repo_id: OneScience/cfdbench, repo_type: dataset, download_method: command_ref, command_ref: commands.download.download_dataset}
local_path: scripts/validate_cfdbench_dataset.py
relations:
required_datasets: []
optional_datasets: []
compatible_models:
- id: OneScience/CFDBench
role: train_data
required_for: [train, inference, evaluate, visualize]
resource_ref:
platform: modelscope
repo_id: OneScience/CFDBench
repo_type: model
url: https://modelscope.cn/models/OneScience/CFDBench
revision: main
readme_path: README.md
manifest_path: onescience_run_manifest.yaml
expected_local_path: session_workdir/data
expected_env: ONESCIENCE_CFDBENCH_DATA_DIR
run_matrix:
scenarios:
- name: validate_structure
capability: dataset_validation
default: true
required_datasets:
- id: OneScience/cfdbench
role: train_data
local_path: data
required_model_files: []
required_dataset_files:
- data/<problem>/<subset>/case*/case.json
- data/<problem>/<subset>/case*/u.npy
- data/<problem>/<subset>/case*/v.npy
- metadata/cfdbench_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/cfdbench
role: train_data
local_path: data
required_model_files: []
required_dataset_files: [files_sha256.jsonl, data/**]
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_cfdbench_model
capability: train
default: true
required_datasets:
- id: OneScience/cfdbench
role: train_data
local_path: data
required_model_files: [OneScience/CFDBench:conf/cfdbench.yaml]
required_dataset_files:
- data/tube/prop/case*/u.npy
- data/tube/bc/case*/u.npy
- data/tube/geo/case*/u.npy
preconditions:
- 模型仓库 OneScience/CFDBench 已下载。
- 设置 ONESCIENCE_CFDBENCH_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/cfdbench
cwd: session_workdir
- name: download_model
command: modelscope download --model OneScience/CFDBench
cwd: session_workdir
prepare:
- name: export_dataset_env
command: export ONESCIENCE_CFDBENCH_DATA_DIR=/path/to/OneScience_cfdbench/data
cwd: .
preflight:
- name: validate_dataset
command: python scripts/validate_cfdbench_dataset.py
cwd: .
- name: validate_dataset_full_hash
command: python scripts/validate_cfdbench_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: 2681 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/cfdbench 数据集仓库根目录,且 data 目录存在。
- name: missing_case_file
symptom: missing required case file
action: 对照 files_sha256.jsonl 重新上传或重新下载缺失 case。
- name: shape_mismatch
symptom: u/v shape mismatch
action: 确认同一 case 下 u.npy 和 v.npy 来自同一数据版本。
- name: checksum_mismatch
symptom: sha256 mismatch
action: 删除损坏文件后重新下载 OneScience/cfdbench。
- name: model_cannot_find_data
symptom: 模型侧报告 ONESCIENCE_CFDBENCH_DATA_DIR is not set 或 Problem path not found
action: 将 ONESCIENCE_CFDBENCH_DATA_DIR 设置为本仓库 data 目录,而不是仓库根目录。
domain_extension:
cfd:
dataset_family: CFDBench
problems: [cavity, tube, dam, cylinder]
subsets: [bc, geo, prop]
file_count: 2681
total_size_bytes: 16017183719
grid_resolution: 64x64
variables: [u_velocity, v_velocity]
case_metadata: case.json
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