onescience_run_manifest.yaml

onescience_manifest_version: "0.1"
resource_type: dataset

resource:
  id: OneScience/beno
  name: beno
  domain: cfd
  domain_tags:
    - cfd
    - elliptic_pde
    - boundary_condition
  task: elliptic_pde_surrogate_dataset
  task_tags:
    - train_data
    - eval_data
    - inference_input
    - dataset_validation
  modalities:
    - gridded_field
    - boundary_condition
  input_formats:
    - npy
  output_formats:
    - npy
  summary: BENO 椭圆 PDE 数据集，包含 Dirichlet 和 Neumann 边界下的 32x32 网格 RHS、SOL、BC NPY 文件。

platform_resource:
  primary:
    platform: modelscope
    repo_id: OneScience/beno
    repo_type: dataset
    url: https://modelscope.cn/datasets/OneScience/beno
    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/beno
  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_BENO_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_BENO_DATA_DIR: <dataset_repo_root>/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/beno.py
  compatibility:
    examples_path: onescience/examples/cfd/BENO
    status: examples_compatible
  datapipe: onescience.datapipes.cfd.BENODatapipe

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/Dirichlet/RHS_N32_4c_all.npy
    - data/Dirichlet/SOL_N32_4c_all.npy
    - data/Dirichlet/BC_N32_4c_all.npy
    - metadata/beno_schema.json
    - scripts/validate_beno_dataset.py
    - files_sha256.jsonl
  entrypoints:
    preflight: scripts/validate_beno_dataset.py
    validate: scripts/validate_beno_dataset.py
    inference: null
    train: null
    finetune: null
    evaluate: null
    visualize: null
    deploy: null

files:
  model_files: []
  dataset_files:
    - path: data/Dirichlet/*.npy
      role: train_eval_inference_data
      description_zh: Dirichlet 边界条件下的 BENO NPY 数据文件，包含 RHS、SOL、BC 三类数组和 6 个几何前缀。
      required: true
      required_for: [dataset_validation, train, inference, evaluate]
      source:
        platform: modelscope
        repo_id: OneScience/beno
        repo_type: dataset
        download_method: command_ref
        command_ref: commands.download.download_dataset
      local_path: data/Dirichlet
    - path: data/Neumann/*.npy
      role: additional_boundary_data
      description_zh: Neumann 边界条件下的 BENO NPY 数据文件，可用于扩展训练或对比实验。
      required: true
      required_for: [dataset_validation]
      source:
        platform: modelscope
        repo_id: OneScience/beno
        repo_type: dataset
        download_method: command_ref
        command_ref: commands.download.download_dataset
      local_path: data/Neumann
    - 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/beno
        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/beno
        repo_type: dataset
        download_method: command_ref
        command_ref: commands.download.download_dataset
      local_path: data_integrity_summary.json
  config_files:
    - path: metadata/beno_schema.json
      role: dataset_schema
      description_zh: 描述 BENO 数据文件命名、shape、dtype 和默认模型子集。
      required: true
      required_for: [dataset_validation, train, inference]
      source:
        platform: modelscope
        repo_id: OneScience/beno
        repo_type: dataset
        download_method: command_ref
        command_ref: commands.download.download_dataset
      local_path: metadata/beno_schema.json
  sample_files:
    - path: scripts/validate_beno_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、可读性、统计清单和可选 SHA256。
      required: true
      required_for: [dataset_validation]
      source:
        platform: modelscope
        repo_id: OneScience/beno
        repo_type: dataset
        download_method: command_ref
        command_ref: commands.download.download_dataset
      local_path: scripts/validate_beno_dataset.py

relations:
  required_datasets: []
  optional_datasets: []
  compatible_models:
    - id: OneScience/BENO
      role: train_data
      required_for: [train, inference, evaluate, visualize]
      resource_ref:
        platform: modelscope
        repo_id: OneScience/BENO
        repo_type: model
        url: https://modelscope.cn/models/OneScience/BENO
        revision: main
        readme_path: README.md
        manifest_path: onescience_run_manifest.yaml
      expected_local_path: session_workdir/data
      expected_env: ONESCIENCE_BENO_DATA_DIR

run_matrix:
  scenarios:
    - name: validate_structure
      capability: dataset_validation
      default: true
      required_datasets:
        - id: OneScience/beno
          role: train_data
          local_path: data
      required_model_files: []
      required_dataset_files:
        - data/Dirichlet/*.npy
        - data/Neumann/*.npy
        - metadata/beno_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/beno
          role: train_data
          local_path: data
      required_model_files: []
      required_dataset_files:
        - files_sha256.jsonl
        - data/Dirichlet/*.npy
        - data/Neumann/*.npy
      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_beno_model
      capability: train
      default: true
      required_datasets:
        - id: OneScience/beno
          role: train_data
          local_path: data
      required_model_files:
        - OneScience/BENO:conf/beno.yaml
      required_dataset_files:
        - data/Dirichlet/RHS_N32_4c_all.npy
        - data/Dirichlet/SOL_N32_4c_all.npy
        - data/Dirichlet/BC_N32_4c_all.npy
      preconditions:
        - 模型仓库 OneScience/BENO 已下载。
        - 设置 ONESCIENCE_BENO_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/beno
      cwd: session_workdir
    - name: download_model
      command: modelscope download --model OneScience/BENO
      cwd: session_workdir
  prepare:
    - name: export_dataset_env
      command: export ONESCIENCE_BENO_DATA_DIR=/path/to/OneScience_beno/data
      cwd: .
  preflight:
    - name: validate_dataset
      command: python scripts/validate_beno_dataset.py
      cwd: .
    - name: validate_dataset_full_hash
      command: python scripts/validate_beno_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: 36 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/beno 数据集仓库根目录，且 data 目录存在。
  - name: missing_npy
    symptom: missing required NPY files
    action: 对照 files_sha256.jsonl 重新上传或重新下载缺失文件。
  - name: shape_mismatch
    symptom: shape mismatch 或 dtype mismatch
    action: 确认没有用其他分辨率或其他 BENO 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/beno。
  - name: model_cannot_find_data
    symptom: 模型侧报告 ONESCIENCE_BENO_DATA_DIR is not set 或 Data file not found
    action: 将 ONESCIENCE_BENO_DATA_DIR 设置为本仓库 data 目录，而不是仓库根目录或 data/Dirichlet。

domain_extension:
  cfd:
    dataset_family: BENO
    physics: elliptic partial differential equation
    boundary_types:
      - Dirichlet
      - Neumann
    prefixes:
      - N32_0c
      - N32_1c
      - N32_2c
      - N32_3c
      - N32_4c
      - N32_mix
    file_count: 36
    total_size_bytes: 540676608
    resolution: 32
    samples_per_file: 1000
    schema:
      BC:
        shape: [1000, 128, 4]
        dtype: float64
        note: 当前 OneScience BENO datapipe 使用通道 0:2 和通道 2；通道 3 在原始数据中为 NaN 占位，验证脚本会记录警告但不视为损坏。
      RHS:
        shape: [1000, 1024, 4]
        dtype: float64
      SOL:
        shape: [1000, 1024, 1]
        dtype: float64