onescience_manifest_version: "0.1" 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: /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///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///case*/case.json - path: data///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///case*/u.npy - path: data///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///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///case*/case.json - data///case*/u.npy - data///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