| onescience_manifest_version: "0.1" |
| resource_type: dataset |
|
|
| resource: |
| id: OneScience/ShapeNetCar |
| name: ShapeNetCar |
| domain: cfd |
| domain_tags: |
| - cfd |
| - external_aerodynamics |
| - car_design |
| task: flow_field_prediction |
| task_tags: |
| - car_design |
| - pressure_prediction |
| - velocity_prediction |
| - drag_coefficient_evaluation |
| modalities: |
| - unstructured_mesh |
| - point_cloud |
| - graph |
| input_formats: |
| - npy |
| - vtk |
| - txt |
| output_formats: |
| - npy |
| - vtk |
| - png |
| summary: ShapeNetCar 汽车外流场数据集，包含原始训练数据、预处理图数据、归一化统计量和可视化参考文件。 |
|
|
| platform_resource: |
| primary: |
| platform: modelscope |
| repo_id: OneScience/ShapeNetCar |
| repo_type: dataset |
| url: https://modelscope.cn/datasets/OneScience/ShapeNetCar |
| revision: main |
| readme_path: README.md |
| manifest_path: manifest.yaml |
| mirrors: [] |
| access: |
| visibility: public |
| license: null |
|
|
| website_integration: |
| enabled: true |
| click_target: |
| platform: modelscope |
| resource_url: https://modelscope.cn/datasets/OneScience/ShapeNetCar |
| llm_handoff: |
| readme_required: true |
| manifest_required: true |
| download_readme_first: true |
| resolve_related_models: true |
| default_run_goal: data_validation |
|
|
| runtime: |
| enabled: true |
| onescience_domain: cfd |
| min_onescience_version: null |
| supported_execution: |
| - local |
| - local_slurm |
| - remote_slurm |
| - scnet_mcp |
|
|
| 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: [] |
| compatibility: |
| examples_path: examples/cfd/Transolver-Car-Design |
| status: examples_compatible |
|
|
| runtime_package: |
| kind: dataset_package |
| package_root: . |
| standard_layout: |
| workdir: . |
| config_dir: metadata |
| checkpoint_dir: null |
| data_dir: data |
| output_dir: null |
| apply_policy: |
| mode: direct_use |
| target: session_workdir |
| overwrite: true |
| protect_installed_onescience: true |
| entry_files: |
| - metadata/schema.yaml |
| - scripts/validate_shapenetcar_data.py |
| entrypoints: |
| preflight: scripts/validate_shapenetcar_data.py |
| inference: null |
| train: null |
| finetune: null |
| evaluate: null |
| visualize: null |
| deploy: null |
|
|
| files: |
| model_files: [] |
| dataset_files: |
| - id: mlcfd_data_root |
| path: data/mlcfd_data |
| role: train_split |
| description_zh: ShapeNetCar 数据根目录，包含 training_data、preprocessed_data、stats、图表原始数据和可视化参考图。 |
| required: true |
| required_for: [preflight, train, evaluate, inference, visualize] |
| format: directory |
| source: |
| platform: modelscope |
| repo_id: OneScience/ShapeNetCar |
| repo_type: dataset |
| path: data/mlcfd_data |
| revision: main |
| url: null |
| download_method: command_ref |
| command_ref: commands.download.download_dataset_package |
| mirrors: [] |
| local_path: data/mlcfd_data |
| size: 18G |
| checksum: metadata/file_manifest.sha256 |
| large_file: true |
| - id: training_data |
| path: data/mlcfd_data/training_data |
| role: train_split |
| description_zh: 原始训练数组和部分 VTK/文本数据，按 param0 到 param8 组织。 |
| required: true |
| required_for: [train, evaluate, inference] |
| format: npy_directory |
| source: |
| platform: modelscope |
| repo_id: OneScience/ShapeNetCar |
| repo_type: dataset |
| path: data/mlcfd_data/training_data |
| revision: main |
| url: null |
| download_method: command_ref |
| command_ref: commands.download.download_dataset_package |
| mirrors: [] |
| local_path: data/mlcfd_data/training_data |
| size: null |
| checksum: metadata/file_manifest.sha256 |
| large_file: true |
| - id: preprocessed_data |
| path: data/mlcfd_data/preprocessed_data |
| role: train_split |
| description_zh: Transolver 数据管道直接读取的预处理图样本，样本内包含 x、y、pos、surf 和 edge_index。 |
| required: true |
| required_for: [preflight, train, evaluate, inference] |
| format: npy_directory |
| source: |
| platform: modelscope |
| repo_id: OneScience/ShapeNetCar |
| repo_type: dataset |
| path: data/mlcfd_data/preprocessed_data |
| revision: main |
| url: null |
| download_method: command_ref |
| command_ref: commands.download.download_dataset_package |
| mirrors: [] |
| local_path: data/mlcfd_data/preprocessed_data |
| size: null |
| checksum: metadata/file_manifest.sha256 |
| large_file: true |
| - id: normalization_stats |
| path: data/mlcfd_data/stats |
| role: normalization_stats |
| description_zh: 输入输出均值和标准差，模型训练、推理和反归一化评测均需要。 |
| required: true |
| required_for: [preflight, train, evaluate, inference] |
| format: npy_directory |
| source: |
| platform: modelscope |
| repo_id: OneScience/ShapeNetCar |
| repo_type: dataset |
| path: data/mlcfd_data/stats |
| revision: main |
| url: null |
| download_method: command_ref |
| command_ref: commands.download.download_dataset_package |
| mirrors: [] |
| local_path: data/mlcfd_data/stats |
| size: null |
| checksum: metadata/file_manifest.sha256 |
| large_file: false |
| - id: schema |
| path: metadata/schema.yaml |
| role: schema |
| description_zh: 数据字段、shape、dtype 和目录模式说明。 |
| required: true |
| required_for: [preflight] |
| format: yaml |
| source: |
| platform: modelscope |
| repo_id: OneScience/ShapeNetCar |
| repo_type: dataset |
| path: metadata/schema.yaml |
| revision: main |
| url: null |
| download_method: command_ref |
| command_ref: commands.download.download_dataset_package |
| mirrors: [] |
| local_path: metadata/schema.yaml |
| size: null |
| checksum: null |
| large_file: false |
| config_files: [] |
| sample_files: |
| - id: validation_script |
| path: scripts/validate_shapenetcar_data.py |
| role: sample |
| description_zh: 数据集读取验证脚本，会读取统计文件、训练数组和一个预处理样本，检查 shape、dtype 和可读性。 |
| required: true |
| required_for: [preflight] |
| format: py |
| source: |
| platform: modelscope |
| repo_id: OneScience/ShapeNetCar |
| repo_type: dataset |
| path: scripts/validate_shapenetcar_data.py |
| revision: main |
| url: null |
| download_method: command_ref |
| command_ref: commands.download.download_dataset_package |
| mirrors: [] |
| local_path: scripts/validate_shapenetcar_data.py |
| size: null |
| checksum: null |
| large_file: false |
|
|
| dataset: |
| format: |
| - npy |
| - vtk |
| - txt |
| - xlsx |
| - png |
| sample_unit: 一个汽车几何样本的预处理图目录，包含 x.npy、y.npy、pos.npy、surf.npy 和 edge_index.npy。 |
| schema: |
| path: metadata/schema.yaml |
| splits: |
| train: data/mlcfd_data/training_data/param0..param8 |
| validation: 由 Transolver-Car-Design 配置 datapipe.data.splits.fold_id 决定 |
| test: 由 Transolver-Car-Design 配置 datapipe.data.splits.fold_id 决定 |
| statistics: |
| normalization: |
| - data/mlcfd_data/stats/mean_in.npy |
| - data/mlcfd_data/stats/std_in.npy |
| - data/mlcfd_data/stats/mean_out.npy |
| - data/mlcfd_data/stats/std_out.npy |
|
|
| relations: |
| required_datasets: [] |
| optional_datasets: [] |
| compatible_models: |
| - id: OneScience/Transolver-Car-Design/mlcfd_data |
| role: train_data |
| required_for: [preflight, train, inference, evaluate, visualize] |
| resource_ref: |
| platform: modelscope |
| repo_id: OneScience/Transolver-Car-Design/mlcfd_data |
| repo_type: model |
| url: https://modelscope.cn/models/OneScience/Transolver-Car-Design/mlcfd_data |
| revision: main |
| readme_path: README.md |
| manifest_path: manifest.yaml |
| expected_local_path: session_workdir/data/mlcfd_data |
| adapter: null |
|
|
| run_matrix: |
| scenarios: |
| - name: data_validation |
| default: true |
| capability: preflight |
| description_zh: 验证 ShapeNetCar 数据目录结构、统计文件和预处理样本可读。 |
| required_datasets: |
| - id: OneScience/ShapeNetCar |
| role: train_data |
| local_path: data/mlcfd_data |
| required_model_files: [] |
| required_dataset_files: |
| - data/mlcfd_data |
| - metadata/schema.yaml |
| - scripts/validate_shapenetcar_data.py |
| command_refs: |
| - commands.preflight.validate_data |
| expected_outputs: |
| - "[OK] ShapeNetCar data validation passed" |
|
|
| capabilities: |
| inference: false |
| train: false |
| finetune: false |
| evaluate: false |
| visualize: false |
| deploy: false |
| data_validation: true |
|
|
| commands: |
| download: |
| - name: download_dataset_package |
| target: dataset |
| repo_id: OneScience/ShapeNetCar |
| source: . |
| local_path: . |
| required: true |
| required_for: [preflight, train, evaluate, inference, visualize] |
| command: modelscope download --dataset OneScience/ShapeNetCar --local_dir . |
| preflight: |
| - name: validate_data |
| description: 读取并验证数据目录结构、统计文件、训练数组和预处理图样本。 |
| cwd: . |
| command: python scripts/validate_shapenetcar_data.py --data-root data/mlcfd_data |
| required_files: |
| - data/mlcfd_data |
| - metadata/schema.yaml |
| - scripts/validate_shapenetcar_data.py |
| required_env: |
| - python |
| - numpy |
| expected_outputs: |
| - path: stdout |
| type: text |
| contains: "[OK] ShapeNetCar data validation passed" |
| success_criteria: |
| - exit_code == 0 |
| prepare: [] |
| inference: [] |
| train: [] |
| finetune: [] |
| evaluate: [] |
| visualize: [] |
| deploy: [] |
|
|
| expected_outputs: |
| - path: stdout |
| type: text |
| produced_by: commands.preflight.validate_data |
| description_zh: 输出 ShapeNetCar data validation passed、训练参数目录数量、预处理样本数量和已检查样本路径。 |
|
|
| diagnostics: |
| - error_pattern: "data root not found" |
| likely_cause: 数据集未下载到当前目录，或当前 cwd 不是数据集仓库根目录。 |
| action: 执行 modelscope download --dataset OneScience/ShapeNetCar --local_dir .，然后在数据集仓库根目录运行验证脚本。 |
| - error_pattern: "missing directory" |
| likely_cause: data/mlcfd_data 内缺少 training_data、preprocessed_data 或 stats。 |
| action: 检查下载是否完整，必要时重新下载数据集仓库。 |
| - error_pattern: "stats shape mismatch" |
| likely_cause: 归一化统计文件损坏或版本不匹配。 |
| action: 用 metadata/file_manifest.sha256 对比文件大小和 SHA256，重新下载不一致的文件。 |
| - error_pattern: "schema mismatch" |
| likely_cause: 预处理样本不是 Transolver-Car-Design 期望的 ShapeNetCar 图数据格式。 |
| action: 确认使用的是 OneScience/ShapeNetCar，而不是其他车辆 CFD 数据。 |
| - error_pattern: "cannot read" |
| likely_cause: npy 文件损坏或权限不足。 |
| action: 检查文件权限、磁盘完整性和 SHA256。 |
|
|
| domain_extension: |
| cfd: |
| geometry_type: car_body |
| mesh_type: unstructured_graph |
| variables: |
| - velocity_x |
| - velocity_y |
| - velocity_z |
| - pressure |
| - drag_coefficient |
| metrics: |
| - relative_l2_pressure |
| - relative_l2_velocity |
| - rmse_pressure |
| - rmse_velocity |
| - mean_relative_cd_error |
| - spearman_correlation |
|
|
| large_resource: |
| enabled: true |
| total_size: 18G |
| file_count: 10967 |
| download_policy: on_demand |
| default_download: full_for_validation |
| minimal_files: |
| - data/mlcfd_data/stats |
| - data/mlcfd_data/training_data |
| - data/mlcfd_data/preprocessed_data |
| full_download: |
| command: modelscope download --dataset OneScience/ShapeNetCar --local_dir . |
| partial_download: |
| command: null |
|
|
