Datasets:
ArXiv:
License:
| onescience_manifest_version: "0.1" | |
| resource_type: dataset | |
| resource: | |
| id: OneScience/cylinder_flow | |
| name: cylinder_flow | |
| domain: cfd | |
| domain_tags: | |
| - cfd | |
| - vortex_shedding | |
| - cylinder_flow | |
| - unstructured_mesh | |
| task: transient_cylinder_flow_dataset | |
| task_tags: | |
| - train_data | |
| - eval_data | |
| - inference_input | |
| - dataset_validation | |
| modalities: | |
| - unstructured_mesh | |
| - graph | |
| - transient_flow_field | |
| input_formats: | |
| - tfrecord | |
| - json | |
| output_formats: | |
| - tfrecord | |
| - json | |
| summary: DeepMind CylinderFlow 圆柱绕流数据集，包含 train/valid/test TFRecord、meta.json 和 MeshGraphNet 归一化统计量。 | |
| platform_resource: | |
| primary: | |
| platform: modelscope | |
| repo_id: OneScience/cylinder_flow | |
| repo_type: dataset | |
| url: https://modelscope.cn/datasets/OneScience/cylinder_flow | |
| 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/cylinder_flow | |
| 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；模型侧默认读取 data/cylinder_flow。 | |
| 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_CYLINDER_FLOW_DATA_DIR: <dataset_repo_root>/data/cylinder_flow | |
| dependencies: | |
| python: ">=3.10" | |
| python_packages: | |
| - tensorflow | |
| - 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/deepmind_cylinderflow.py | |
| compatibility: | |
| examples_path: onescience/examples/cfd/Vortex_shedding_mgn | |
| status: examples_compatible | |
| datapipe: onescience.datapipes.cfd.DeepMind_CylinderFlowDatapipe | |
| runtime_package: | |
| kind: standard_runtime_package | |
| package_root: . | |
| standard_layout: | |
| workdir: . | |
| data_dir: data/cylinder_flow | |
| metadata_dir: metadata | |
| output_dir: validation_outputs | |
| apply_policy: | |
| mode: direct_use | |
| target: session_workdir | |
| overwrite: false | |
| protect_installed_onescience: true | |
| entry_files: | |
| - data/cylinder_flow/meta.json | |
| - data/cylinder_flow/train.tfrecord | |
| - data/cylinder_flow/valid.tfrecord | |
| - data/cylinder_flow/test.tfrecord | |
| - data/cylinder_flow/stats/edge_stats.json | |
| - data/cylinder_flow/stats/node_stats.json | |
| - metadata/cylinder_flow_schema.json | |
| - scripts/validate_cylinder_flow_dataset.py | |
| - files_sha256.jsonl | |
| entrypoints: | |
| preflight: scripts/validate_cylinder_flow_dataset.py | |
| validate: scripts/validate_cylinder_flow_dataset.py | |
| inference: null | |
| train: null | |
| finetune: null | |
| evaluate: null | |
| visualize: null | |
| deploy: null | |
| files: | |
| model_files: [] | |
| dataset_files: | |
| - path: data/cylinder_flow/train.tfrecord | |
| role: train_split | |
| description_zh: CylinderFlow 训练轨迹 TFRecord，供 MeshGraphNet 训练使用。 | |
| required: true | |
| required_for: [dataset_validation, train] | |
| source: | |
| platform: modelscope | |
| repo_id: OneScience/cylinder_flow | |
| repo_type: dataset | |
| download_method: command_ref | |
| command_ref: commands.download.download_dataset | |
| local_path: data/cylinder_flow/train.tfrecord | |
| - path: data/cylinder_flow/valid.tfrecord | |
| role: validation_split | |
| description_zh: CylinderFlow 验证轨迹 TFRecord，供训练过程验证使用。 | |
| required: true | |
| required_for: [dataset_validation, train, evaluate] | |
| source: | |
| platform: modelscope | |
| repo_id: OneScience/cylinder_flow | |
| repo_type: dataset | |
| download_method: command_ref | |
| command_ref: commands.download.download_dataset | |
| local_path: data/cylinder_flow/valid.tfrecord | |
| - path: data/cylinder_flow/test.tfrecord | |
| role: test_split | |
| description_zh: CylinderFlow 测试轨迹 TFRecord，供推理、评测和可视化使用。 | |
| required: true | |
| required_for: [dataset_validation, inference, evaluate, visualize] | |
| source: | |
| platform: modelscope | |
| repo_id: OneScience/cylinder_flow | |
| repo_type: dataset | |
| download_method: command_ref | |
| command_ref: commands.download.download_dataset | |
| local_path: data/cylinder_flow/test.tfrecord | |
| - path: data/cylinder_flow/meta.json | |
| role: tfrecord_schema_metadata | |
| description_zh: TFRecord 字段、shape、dtype、轨迹长度和仿真步长元数据。 | |
| required: true | |
| required_for: [dataset_validation, train, inference, evaluate] | |
| source: | |
| platform: modelscope | |
| repo_id: OneScience/cylinder_flow | |
| repo_type: dataset | |
| download_method: command_ref | |
| command_ref: commands.download.download_dataset | |
| local_path: data/cylinder_flow/meta.json | |
| - path: data/cylinder_flow/stats/edge_stats.json | |
| role: edge_normalization_stats | |
| description_zh: MeshGraphNet 边特征归一化均值和标准差。 | |
| required: true | |
| required_for: [dataset_validation, train, inference, evaluate] | |
| source: | |
| platform: modelscope | |
| repo_id: OneScience/cylinder_flow | |
| repo_type: dataset | |
| download_method: command_ref | |
| command_ref: commands.download.download_dataset | |
| local_path: data/cylinder_flow/stats/edge_stats.json | |
| - path: data/cylinder_flow/stats/node_stats.json | |
| role: node_normalization_stats | |
| description_zh: MeshGraphNet 节点速度、速度差和压力归一化均值与标准差。 | |
| required: true | |
| required_for: [dataset_validation, train, inference, evaluate] | |
| source: | |
| platform: modelscope | |
| repo_id: OneScience/cylinder_flow | |
| repo_type: dataset | |
| download_method: command_ref | |
| command_ref: commands.download.download_dataset | |
| local_path: data/cylinder_flow/stats/node_stats.json | |
| - 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/cylinder_flow | |
| 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/cylinder_flow | |
| repo_type: dataset | |
| download_method: command_ref | |
| command_ref: commands.download.download_dataset | |
| local_path: data_integrity_summary.json | |
| config_files: | |
| - path: metadata/cylinder_flow_schema.json | |
| role: dataset_schema | |
| description_zh: 描述 CylinderFlow TFRecord 字段、shape、dtype、split、metadata 和 stats。 | |
| required: true | |
| required_for: [dataset_validation, train, inference] | |
| source: | |
| platform: modelscope | |
| repo_id: OneScience/cylinder_flow | |
| repo_type: dataset | |
| download_method: command_ref | |
| command_ref: commands.download.download_dataset | |
| local_path: metadata/cylinder_flow_schema.json | |
| sample_files: | |
| - path: scripts/validate_cylinder_flow_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、stats、可读性和 SHA256。 | |
| required: true | |
| required_for: [dataset_validation] | |
| source: | |
| platform: modelscope | |
| repo_id: OneScience/cylinder_flow | |
| repo_type: dataset | |
| download_method: command_ref | |
| command_ref: commands.download.download_dataset | |
| local_path: scripts/validate_cylinder_flow_dataset.py | |
| relations: | |
| required_datasets: [] | |
| optional_datasets: [] | |
| compatible_models: | |
| - id: OneScience/Vortex_shedding_mgn | |
| role: train_eval_inference_model | |
| required_for: [train, inference, evaluate, visualize] | |
| resource_ref: | |
| platform: modelscope | |
| repo_id: OneScience/Vortex_shedding_mgn | |
| repo_type: model | |
| url: https://modelscope.cn/models/OneScience/Vortex_shedding_mgn | |
| revision: main | |
| readme_path: README.md | |
| manifest_path: onescience_run_manifest.yaml | |
| expected_local_path: data/cylinder_flow | |
| expected_env: ONESCIENCE_CYLINDER_FLOW_DATA_DIR | |
| run_matrix: | |
| scenarios: | |
| - name: validate_structure | |
| capability: dataset_validation | |
| default: true | |
| required_datasets: | |
| - id: OneScience/cylinder_flow | |
| role: train_eval_inference_data | |
| local_path: data/cylinder_flow | |
| required_model_files: [] | |
| required_dataset_files: | |
| - data/cylinder_flow/meta.json | |
| - data/cylinder_flow/train.tfrecord | |
| - data/cylinder_flow/valid.tfrecord | |
| - data/cylinder_flow/test.tfrecord | |
| - metadata/cylinder_flow_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] CylinderFlow dataset validation passed | |
| - name: validate_integrity_full_hash | |
| capability: dataset_validation | |
| default: false | |
| required_datasets: | |
| - id: OneScience/cylinder_flow | |
| role: train_eval_inference_data | |
| local_path: data/cylinder_flow | |
| required_model_files: [] | |
| required_dataset_files: | |
| - files_sha256.jsonl | |
| - data/cylinder_flow/train.tfrecord | |
| - data/cylinder_flow/valid.tfrecord | |
| - data/cylinder_flow/test.tfrecord | |
| 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 [OK] CylinderFlow dataset validation passed | |
| - name: provide_to_vortex_shedding_mgn_model | |
| capability: train | |
| default: true | |
| required_datasets: | |
| - id: OneScience/cylinder_flow | |
| role: train_data | |
| local_path: data/cylinder_flow | |
| required_model_files: | |
| - OneScience/Vortex_shedding_mgn:conf/mgn_cylinderflow.yaml | |
| required_dataset_files: | |
| - data/cylinder_flow/train.tfrecord | |
| - data/cylinder_flow/valid.tfrecord | |
| - data/cylinder_flow/test.tfrecord | |
| preconditions: | |
| - 模型仓库 OneScience/Vortex_shedding_mgn 已下载。 | |
| - 将本仓库 data/cylinder_flow 放到模型包根目录 data/cylinder_flow，或设置 ONESCIENCE_CYLINDER_FLOW_DATA_DIR 指向本目录用于预检。 | |
| command_refs: | |
| - commands.prepare.export_dataset_env | |
| outputs: | |
| - 模型侧 scripts/preflight_vortex_shedding_mgn.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/cylinder_flow | |
| cwd: session_workdir | |
| - name: download_model | |
| command: modelscope download --model OneScience/Vortex_shedding_mgn | |
| cwd: session_workdir | |
| prepare: | |
| - name: export_dataset_env | |
| command: export ONESCIENCE_CYLINDER_FLOW_DATA_DIR=/path/to/OneScience_cylinder_flow/data/cylinder_flow | |
| cwd: . | |
| preflight: | |
| - name: validate_dataset | |
| command: python scripts/validate_cylinder_flow_dataset.py --dataset-root . --skip-tfrecord-read | |
| cwd: . | |
| - name: validate_dataset_full_hash | |
| command: python scripts/validate_cylinder_flow_dataset.py --dataset-root . --verify-sha256 --skip-tfrecord-read | |
| cwd: . | |
| - name: validate_dataset_read_first_record | |
| command: python scripts/validate_cylinder_flow_dataset.py --dataset-root . | |
| cwd: . | |
| inference: [] | |
| train: [] | |
| finetune: [] | |
| evaluate: [] | |
| visualize: [] | |
| deploy: [] | |
| expected_outputs: | |
| - name: validate_dataset | |
| paths: [] | |
| success_criteria: | |
| - 控制台输出 [OK] CylinderFlow dataset validation passed | |
| - name: validate_dataset_full_hash | |
| paths: | |
| - files_sha256.jsonl | |
| success_criteria: | |
| - SHA256 与 files_sha256.jsonl 完全一致。 | |
| - name: model_consumption | |
| paths: [] | |
| success_criteria: | |
| - 模型包 scripts/preflight_vortex_shedding_mgn.py 通过数据路径和 schema 检查。 | |
| diagnostics: | |
| - name: missing_data_root | |
| symptom: missing required file 或 missing data directory | |
| action: 确认当前目录为 OneScience/cylinder_flow 数据集仓库根目录，且 data/cylinder_flow 存在。 | |
| - name: missing_tfrecord | |
| symptom: "missing required file: data/cylinder_flow/*.tfrecord" | |
| action: 对照 files_sha256.jsonl 重新上传或重新下载缺失 TFRecord。 | |
| - name: schema_mismatch | |
| symptom: meta.json feature shape mismatch 或 dtype mismatch | |
| action: 确认没有用其他 CylinderFlow 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/cylinder_flow。 | |
| - name: model_cannot_find_data | |
| symptom: 模型侧报告 data/cylinder_flow 不存在 | |
| action: 将本仓库 data/cylinder_flow 复制到模型包根目录 data/cylinder_flow，或修改模型包配置副本中的 data_dir 与 stats_dir。 | |
| domain_extension: | |
| cfd: | |
| dataset_family: DeepMind CylinderFlow | |
| physics: transient incompressible cylinder wake / vortex shedding | |
| simulator: comsol | |
| file_count: 6 | |
| trajectory_length: 600 | |
| dt: 0.01 | |
| schema: | |
| cells: | |
| shape: [1, -1, 3] | |
| dtype: int32 | |
| mesh_pos: | |
| shape: [1, -1, 2] | |
| dtype: float32 | |
| node_type: | |
| shape: [1, -1, 1] | |
| dtype: int32 | |
| velocity: | |
| shape: [600, -1, 2] | |
| dtype: float32 | |
| pressure: | |
| shape: [600, -1, 1] | |
| dtype: float32 | |