| onescience_manifest_version: "0.1" |
| resource_type: dataset |
|
|
| resource: |
| id: OneScience/lagrangian |
| name: lagrangian |
| domain: cfd |
| domain_tags: [cfd, particle_simulation, lagrangian_dynamics] |
| task: lagrangian_particle_simulation_dataset |
| task_tags: [train_data, eval_data, inference_input, dataset_validation] |
| modalities: [particle_trajectory] |
| input_formats: [tfrecord] |
| output_formats: [tfrecord] |
| summary: DeepMind Lagrangian Water 子数据集标准数据包，包含 train、valid、test 三个 TFRecord split 和 metadata.json。 |
|
|
| platform_resource: |
| primary: |
| platform: modelscope |
| repo_id: OneScience/lagrangian |
| repo_type: dataset |
| url: https://modelscope.cn/datasets/OneScience/lagrangian |
| 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/lagrangian |
| 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_LAGRANGIAN_DATA_DIR 指向本仓库 data/Water。 |
|
|
| 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_LAGRANGIAN_DATA_DIR: <dataset_repo_root>/data/Water |
| 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_lagrangian.py |
| compatibility: |
| examples_path: onescience/examples/cfd/Lagrangian_MGN |
| status: examples_compatible |
| datapipe: onescience.datapipes.cfd.DeepMindLagrangianDatapipe |
|
|
| runtime_package: |
| kind: standard_runtime_package |
| package_root: . |
| standard_layout: |
| workdir: . |
| data_dir: data/Water |
| metadata_dir: metadata |
| output_dir: validation_outputs |
| apply_policy: |
| mode: direct_use |
| target: session_workdir |
| overwrite: false |
| protect_installed_onescience: true |
| entry_files: |
| - data/Water/metadata.json |
| - data/Water/train.tfrecord |
| - data/Water/valid.tfrecord |
| - data/Water/test.tfrecord |
| - metadata/lagrangian_water_schema.json |
| - scripts/validate_lagrangian_dataset.py |
| - files_sha256.jsonl |
| entrypoints: |
| preflight: scripts/validate_lagrangian_dataset.py |
| validate: scripts/validate_lagrangian_dataset.py |
| inference: null |
| train: null |
| finetune: null |
| evaluate: null |
| visualize: null |
| deploy: null |
|
|
| files: |
| model_files: [] |
| dataset_files: |
| - id: water_tfrecord_splits |
| path: data/Water/*.tfrecord |
| role: train_eval_inference_data |
| description_zh: Water 子数据集的 train、valid、test TFRecord 序列文件。 |
| required: true |
| required_for: [dataset_validation, train, inference, evaluate] |
| source: {platform: modelscope, repo_id: OneScience/lagrangian, repo_type: dataset, download_method: command_ref, command_ref: commands.download.download_dataset} |
| local_path: data/Water |
| - id: water_metadata |
| path: data/Water/metadata.json |
| role: schema_and_normalization_stats |
| description_zh: Water 数据的维度、时间步长、边界、半径、速度和加速度归一化统计。 |
| required: true |
| required_for: [dataset_validation, train, inference, evaluate] |
| source: {platform: modelscope, repo_id: OneScience/lagrangian, repo_type: dataset, download_method: command_ref, command_ref: commands.download.download_dataset} |
| local_path: data/Water/metadata.json |
| - id: integrity_inventory |
| path: files_sha256.jsonl |
| role: file_size_sha256_inventory |
| description_zh: 整理后数据文件大小和 SHA256 清单。 |
| required: true |
| required_for: [dataset_validation] |
| source: {platform: modelscope, repo_id: OneScience/lagrangian, repo_type: dataset, download_method: command_ref, command_ref: commands.download.download_dataset} |
| local_path: files_sha256.jsonl |
| - id: integrity_summary |
| 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/lagrangian, repo_type: dataset, download_method: command_ref, command_ref: commands.download.download_dataset} |
| local_path: data_integrity_summary.json |
| config_files: |
| - id: schema |
| path: metadata/lagrangian_water_schema.json |
| role: dataset_schema |
| description_zh: TFRecord SequenceExample 字段、dtype、shape 和 split 数量说明。 |
| required: true |
| required_for: [dataset_validation, train, inference] |
| source: {platform: modelscope, repo_id: OneScience/lagrangian, repo_type: dataset, download_method: command_ref, command_ref: commands.download.download_dataset} |
| local_path: metadata/lagrangian_water_schema.json |
| sample_files: |
| - id: validation_script |
| path: scripts/validate_lagrangian_dataset.py |
| role: dataset_validation |
| description_zh: 检查数据文件结构、metadata、TFRecord 首条样本 shape/dtype 和可选 SHA256。 |
| required: true |
| required_for: [dataset_validation] |
| source: {platform: modelscope, repo_id: OneScience/lagrangian, repo_type: dataset, download_method: command_ref, command_ref: commands.download.download_dataset} |
| local_path: scripts/validate_lagrangian_dataset.py |
|
|
| dataset: |
| format: [tfrecord_sequence_example] |
| sample_unit: 一个 SequenceExample 对应一条粒子仿真序列。 |
| schema: |
| path: metadata/lagrangian_water_schema.json |
| splits: |
| train: {path: data/Water/train.tfrecord, expected_sequences: 1000} |
| validation: {path: data/Water/valid.tfrecord, expected_sequences: 30} |
| test: {path: data/Water/test.tfrecord, expected_sequences: 30} |
| metadata: |
| path: data/Water/metadata.json |
| dim: 2 |
| sequence_length: 1000 |
| dt: 0.0025 |
| default_connectivity_radius: 0.015 |
| normalization_stats: [vel_mean, vel_std, acc_mean, acc_std] |
|
|
| relations: |
| required_datasets: [] |
| optional_datasets: [] |
| compatible_models: |
| - id: OneScience/LagrangianMGN |
| role: train_data |
| required_for: [preflight, train, inference, evaluate, visualize] |
| resource_ref: |
| platform: modelscope |
| repo_id: OneScience/LagrangianMGN |
| repo_type: model |
| url: https://modelscope.cn/models/OneScience/LagrangianMGN |
| revision: main |
| readme_path: README.md |
| manifest_path: onescience_run_manifest.yaml |
| expected_local_path: data/Water |
| adapter: null |
|
|
| run_matrix: |
| scenarios: |
| - name: dataset_validation |
| default: true |
| capability: preflight |
| description: 验证 Water TFRecord 数据、metadata schema、文件清单和可读性。 |
| required_datasets: |
| - id: OneScience/lagrangian |
| role: dataset_validation |
| local_path: . |
| required_model_files: [] |
| required_dataset_files: [data/Water/metadata.json, data/Water/train.tfrecord, data/Water/valid.tfrecord, data/Water/test.tfrecord, files_sha256.jsonl] |
| preconditions: |
| - 已下载 OneScience/lagrangian 数据集仓库并 cd 到数据集仓库根目录。 |
| command_refs: [commands.preflight.validate_dataset] |
| expected_outputs: [dataset_validation_ok] |
|
|
| capabilities: |
| inference: false |
| train: false |
| finetune: false |
| evaluate: false |
| visualize: false |
| deploy: false |
| dataset_validation: true |
|
|
| commands: |
| download: |
| - name: download_dataset |
| target: dataset |
| repo_id: OneScience/lagrangian |
| local_path: <session_workdir>/lagrangian |
| required: true |
| required_for: [dataset_validation, train, inference, evaluate] |
| command: modelscope download --dataset OneScience/lagrangian |
| preflight: |
| - name: validate_dataset |
| description: 验证 Water 数据集文件结构、metadata、TFRecord 首条样本和清单。 |
| cwd: . |
| command: python scripts/validate_lagrangian_dataset.py --dataset-root . |
| required_files: [scripts/validate_lagrangian_dataset.py, data/Water/metadata.json, data/Water/train.tfrecord, data/Water/valid.tfrecord, data/Water/test.tfrecord, files_sha256.jsonl] |
| required_env: [] |
| expected_outputs: [{path: stdout, type: text, contains: "Lagrangian Water dataset validation passed"}] |
| success_criteria: [exit_code == 0] |
| prepare: [] |
| inference: [] |
| train: [] |
| finetune: [] |
| evaluate: [] |
| visualize: [] |
| deploy: [] |
|
|
| expected_outputs: |
| - id: dataset_validation_ok |
| path: stdout |
| type: text |
| description_zh: 数据集验证输出 Lagrangian Water dataset validation passed。 |
|
|
| diagnostics: |
| - symptom: "missing TFRecord split" |
| cause: 数据集下载不完整或当前目录不是数据集仓库根目录。 |
| fix: 重新执行 modelscope download --dataset OneScience/lagrangian，并 cd 到下载后的数据集根目录。 |
| - symptom: "metadata dim or sequence_length mismatch" |
| cause: 使用了非 Water 或非本标准包的数据目录。 |
| fix: 确认 ONESCIENCE_LAGRANGIAN_DATA_DIR 指向 OneScience/lagrangian 的 data/Water。 |
| - symptom: "TensorFlow first-record check skipped" |
| cause: 当前环境缺少 TensorFlow。 |
| fix: 安装 TensorFlow 后重跑验证；文件大小和 SHA256 仍可先用于完整性判断。 |
|
|
| domain_extension: |
| cfd: |
| dataset_family: DeepMind Learning to Simulate |
| subset: Water |
| simulation_type: lagrangian_particle_dynamics |
| dimensionality: 2 |
| splits: [train, valid, test] |
|
|
