| onescience_manifest_version: "0.1" |
| resource_type: dataset |
| resource: |
| id: OneScience/eagle |
| name: eagle |
| domain: cfd |
| domain_tags: [cfd, eagle, turbulent_flow, unstructured_mesh] |
| task: eagle_flow_forecasting_dataset |
| task_tags: [train_data, eval_data, visualization_input] |
| modalities: [unstructured_mesh, temporal_field] |
| input_formats: [npz, npy] |
| output_formats: [] |
| summary: Eagle 数据集标准包，包含 Cre/Spl/Tri 三类二维非定常流体仿真样本及 GraphViT 所需聚类文件。 |
| language: zh |
| license: unknown |
|
|
| platform_resource: |
| primary: |
| platform: modelscope |
| repo_id: OneScience/eagle |
| repo_type: dataset |
| url: https://modelscope.cn/datasets/OneScience/eagle |
| revision: main |
| readme_path: README.md |
| manifest_path: onescience_run_manifest.yaml |
| mirrors: [] |
| access: |
| visibility: public |
| license: null |
|
|
| website_integration: |
| enabled: true |
| click_target: |
| platform: modelscope |
| resource_url: https://modelscope.cn/datasets/OneScience/eagle |
| llm_handoff: |
| readme_required: true |
| manifest_required: true |
| download_readme_first: true |
| resolve_related_models: true |
| default_run_goal: minimal_validation |
| default_workdir: . |
| cwd_note: 如果使用 modelscope download --cache_dir 下载，请先 cd 到实际下载后的数据集仓库根目录，模型侧再把 ONESCIENCE_EAGLE_DATA_DIR 指向 data/Eagle_dataset。 |
|
|
| runtime: |
| enabled: true |
| onescience_domain: cfd |
| supported_execution: [local_dataset_validation, model_training_input, model_evaluation_input] |
| environment: |
| exported_env: |
| ONESCIENCE_EAGLE_DATA_DIR: <dataset_repo_root>/data/Eagle_dataset |
| dependencies: |
| python_packages: [numpy, ruamel.yaml] |
|
|
| 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 |
| compatibility: |
| examples_path: onescience/examples/cfd/EagleMeshTransformer |
| status: examples_compatible |
| datapipe: onescience.datapipes.cfd.EagleDatapipe |
|
|
| runtime_package: |
| kind: standard_runtime_package |
| package_root: . |
| standard_layout: |
| workdir: . |
| data_dir: data/Eagle_dataset |
| metadata_dir: metadata |
| output_dir: validation_outputs |
| apply_policy: |
| mode: direct_use |
| target: session_workdir |
| overwrite: false |
| protect_installed_onescience: true |
| entry_files: |
| - data/Eagle_dataset |
| - metadata/schema.yaml |
| - metadata/train.txt |
| - metadata/valid.txt |
| - metadata/test.txt |
| - files_sha256.jsonl |
| - scripts/validate_eagle_dataset.py |
| entrypoints: |
| preflight: scripts/validate_eagle_dataset.py |
| inference: null |
| train: null |
| finetune: null |
| evaluate: null |
| visualize: null |
| deploy: null |
|
|
| files: |
| dataset_files: |
| - id: eagle_data_root |
| path: data/Eagle_dataset |
| role: train_eval_data |
| description_zh: EAGLE 原始仿真和聚类数据根目录，包含 Cre/Spl/Tri。 |
| required: true |
| required_for: [preflight, train, evaluate, visualize] |
| source: |
| platform: modelscope |
| repo_id: OneScience/eagle |
| repo_type: dataset |
| path: data/Eagle_dataset |
| revision: main |
| download_method: command_ref |
| command_ref: commands.download.download_dataset |
| local_path: data/Eagle_dataset |
| - id: eagle_schema |
| path: metadata/schema.yaml |
| role: schema |
| description_zh: 描述 sim.npz、triangles.npy 和 constrained_kmeans 文件的字段、shape 和 dtype。 |
| required: true |
| required_for: [preflight] |
| source: {platform: modelscope, repo_id: OneScience/eagle, repo_type: dataset, path: metadata/schema.yaml, revision: main, download_method: command_ref, command_ref: commands.download.download_dataset} |
| local_path: metadata/schema.yaml |
| - id: eagle_sha256_inventory |
| path: files_sha256.jsonl |
| role: file_size_sha256_inventory |
| description_zh: 每个数据文件的相对路径、大小和 SHA256，用于上传前和下载后完整性校验。 |
| required: true |
| required_for: [preflight] |
| source: {platform: modelscope, repo_id: OneScience/eagle, repo_type: dataset, path: files_sha256.jsonl, revision: main, download_method: command_ref, command_ref: commands.download.download_dataset} |
| local_path: files_sha256.jsonl |
| config_files: [] |
| sample_files: |
| - id: eagle_split_metadata |
| path: metadata/*.txt |
| role: split_files |
| description_zh: EagleMeshTransformer 使用的 train/valid/test 相对路径列表。 |
| required: true |
| required_for: [train, evaluate] |
| source: {platform: modelscope, repo_id: OneScience/eagle, repo_type: dataset, path: metadata/, revision: main, download_method: command_ref, command_ref: commands.download.download_dataset} |
| local_path: metadata/ |
|
|
| dataset: |
| format: [npz, npy] |
| sample_unit: Cre/Spl/Tri 下的一个 case/trajectory 目录 |
| schema: |
| path: metadata/schema.yaml |
| splits: |
| train: |
| path: metadata/train.txt |
| count: 947 |
| validation: |
| path: metadata/valid.txt |
| count: 118 |
| test: |
| path: metadata/test.txt |
| count: 118 |
| size: |
| sample_directories: 1200 |
| files: 7200 |
| geometry_directories: |
| Cre: 400 |
| Spl: 400 |
| Tri: 400 |
|
|
| relations: |
| compatible_models: |
| - id: OneScience/EagleMeshTransformer |
| name: EagleMeshTransformer |
| role: train_data |
| required_for: [preflight, train, inference, evaluate, visualize] |
| resource_ref: |
| platform: modelscope |
| repo_id: OneScience/EagleMeshTransformer |
| repo_type: model |
| url: https://modelscope.cn/models/OneScience/EagleMeshTransformer |
| revision: main |
| readme_path: README.md |
| manifest_path: onescience_run_manifest.yaml |
| expected_local_path: ${ONESCIENCE_EAGLE_DATA_DIR} |
| expected_model_env: ONESCIENCE_EAGLE_DATA_DIR |
| expected_model_config: conf/graphvit_eagle.yaml |
| required_by_models: |
| - resource_ref: |
| platform: modelscope |
| repo_id: OneScience/EagleMeshTransformer |
| repo_type: model |
| url: https://modelscope.cn/models/OneScience/EagleMeshTransformer |
| revision: main |
| readme_path: README.md |
| manifest_path: onescience_run_manifest.yaml |
|
|
| run_matrix: |
| scenarios: |
| - name: validate_structure |
| capability: dataset_preflight |
| default: true |
| required_datasets: |
| - id: OneScience/eagle |
| role: train_data |
| local_path: data/Eagle_dataset |
| required_model_files: [] |
| required_dataset_files: |
| - data/Eagle_dataset/Cre|Spl|Tri/<case>/<traj>/sim.npz |
| - data/Eagle_dataset/Cre|Spl|Tri/<case>/<traj>/triangles.npy |
| - data/Eagle_dataset/Cre|Spl|Tri/<case>/<traj>/constrained_kmeans_10.npy |
| - data/Eagle_dataset/Cre|Spl|Tri/<case>/<traj>/constrained_kmeans_20.npy |
| - data/Eagle_dataset/Cre|Spl|Tri/<case>/<traj>/constrained_kmeans_30.npy |
| - data/Eagle_dataset/Cre|Spl|Tri/<case>/<traj>/constrained_kmeans_40.npy |
| 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 |
| capability: dataset_integrity |
| required_datasets: |
| - id: OneScience/eagle |
| role: train_data |
| local_path: data/Eagle_dataset |
| required_model_files: [] |
| required_dataset_files: |
| - files_sha256.jsonl |
| - "data/Eagle_dataset/**" |
| 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] checksum manifest verified in size+sha256 mode"' |
| - name: provide_to_model |
| capability: train |
| required_datasets: |
| - id: OneScience/eagle |
| role: train_data |
| local_path: data/Eagle_dataset |
| required_model_files: |
| - "OneScience/EagleMeshTransformer:conf/graphvit_eagle.yaml" |
| required_dataset_files: |
| - "data/Eagle_dataset/**/sim.npz" |
| - "data/Eagle_dataset/**/triangles.npy" |
| - "data/Eagle_dataset/**/constrained_kmeans_40.npy" |
| preconditions: |
| - 模型仓库已下载。 |
| command_refs: [commands.prepare.export_dataset_env] |
| outputs: |
| - 模型侧 scripts/preflight_check.py 可以通过数据目录检查。 |
|
|
| capabilities: |
| dataset_validation: true |
| train_input: true |
| inference_input: true |
| evaluation_input: true |
| visualization_input: true |
|
|
| commands: |
| download: |
| - name: download_dataset |
| cwd: session_workdir |
| command: modelscope download --dataset OneScience/eagle |
| - name: download_model |
| cwd: session_workdir |
| command: modelscope download --model OneScience/EagleMeshTransformer |
| prepare: |
| - name: export_dataset_env |
| cwd: . |
| command: export ONESCIENCE_EAGLE_DATA_DIR=/path/to/OneScience_eagle/data/Eagle_dataset |
| preflight: |
| - name: validate_dataset |
| cwd: . |
| command: python scripts/validate_eagle_dataset.py |
| - name: validate_dataset_full_hash |
| cwd: . |
| command: python scripts/validate_eagle_dataset.py --full-hash |
| train: [] |
| inference: [] |
| evaluate: [] |
| visualize: [] |
| finetune: [] |
| deploy: [] |
|
|
| expected_outputs: |
| validate_dataset: ["[OK] dataset validation completed"] |
| validate_dataset_full_hash: ["[OK] checksum manifest verified in size+sha256 mode: 7200 files"] |
| model_consumption: [模型包 scripts/preflight_check.py 通过数据目录检查。] |
|
|
| diagnostics: |
| - id: missing_data_root |
| symptom: dataset root not found |
| action: 确认当前目录为 OneScience/eagle 数据集仓库根目录，且 data/Eagle_dataset 存在。 |
| - id: missing_sample_file |
| symptom: missing required file |
| action: 对照 files_sha256.jsonl 重新上传或重新下载缺失样本目录。 |
| - id: checksum_mismatch |
| symptom: sha256 mismatch |
| action: 数据文件损坏或未完整上传，需重新同步对应文件。 |
| - id: schema_mismatch |
| symptom: unexpected pointcloud shape 或 unexpected dtype |
| action: 检查是否误用了非 Eagle v1 数据，或文件在解压/上传过程中被替换。 |
|
|
| domain_extension: |
| cfd: |
| geometry_types: [Cre, Spl, Tri] |
| mesh_type: unstructured_triangular_mesh |
| variables: [pointcloud, mask, VX, VY, PS, PG] |
| temporal_steps_per_sample: 990 |
| cluster_files: [constrained_kmeans_10.npy, constrained_kmeans_20.npy, constrained_kmeans_30.npy, constrained_kmeans_40.npy] |
|
|
