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+  "source_root": "cfd_dataset/CFDBench",
+  "standardized_root": "modelscope_standardized/dataset/cfd_cfdbench/data",
+  "subsets": {
+    "cavity/bc": {
+      "bytes": 333978440,
+      "cases": 50,
+      "files": 250
+    },
+    "cavity/geo": {
+      "bytes": 110764806,
+      "cases": 24,
+      "files": 72
+    },
+    "cavity/prop": {
+      "bytes": 391844140,
+      "cases": 84,
+      "files": 420
+    },
+    "cylinder/bc": {
+      "bytes": 3251917186,
+      "cases": 50,
+      "files": 150
+    },
+    "cylinder/geo": {
+      "bytes": 2621448179,
+      "cases": 20,
+      "files": 60
+    },
+    "cylinder/prop": {
+      "bytes": 7602223651,
+      "cases": 116,
+      "files": 348
+    },
+    "dam/bc": {
+      "bytes": 453279636,
+      "cases": 70,
+      "files": 210
+    },
+    "dam/geo": {
+      "bytes": 327703395,
+      "cases": 50,
+      "files": 150
+    },
+    "dam/prop": {
+      "bytes": 655406760,
+      "cases": 100,
+      "files": 300
+    },
+    "tube/bc": {
+      "bytes": 64886872,
+      "cases": 50,
+      "files": 345
+    },
+    "tube/geo": {
+      "bytes": 58139897,
+      "cases": 25,
+      "files": 75
+    },
+    "tube/prop": {
+      "bytes": 145590146,
+      "cases": 100,
+      "files": 300
+    }
+  },
+  "total_size_bytes": 16017183719
+}
diff --git a/dataset_infos.json b/dataset_infos.json
new file mode 100644
index 0000000000000000000000000000000000000000..c511fbfc15e8f09b56be41dfb84b05064efc0d09
--- /dev/null
+++ b/dataset_infos.json
@@ -0,0 +1 @@
+{"default": {"features": {"image": {"_type": "Image"}, "label": {"_type": "Value"}}, "splits": {"train": {"name": "train", "dataset_name": "cfdbench"}}}}
\ No newline at end of file
diff --git a/files_sha256.jsonl b/files_sha256.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..24ea851665f2d4d543dee9ca6229584634ec9cde
--- /dev/null
+++ b/files_sha256.jsonl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a49f18915b3e809b192e644d24cb506d57593b23271c692ea636c15ee65cc425
+size 543307
diff --git a/metadata/cfdbench_schema.json b/metadata/cfdbench_schema.json
new file mode 100644
index 0000000000000000000000000000000000000000..5085c1cc6477fd9dc245a2ee731e758968eed053
--- /dev/null
+++ b/metadata/cfdbench_schema.json
@@ -0,0 +1,276 @@
+{
+  "arrays": {
+    "u.npy": "3D time/height/width numeric array",
+    "v.npy": "3D time/height/width numeric array"
+  },
+  "case_files": {
+    "optional": [
+      "u.png",
+      "v.png"
+    ],
+    "required": [
+      "case.json",
+      "u.npy",
+      "v.npy"
+    ]
+  },
+  "dataset": "CFDBench",
+  "default_model_subset": {
+    "data_name": "tube_prop_bc_geo",
+    "model": "fno",
+    "split_ratios": [
+      0.8,
+      0.1,
+      0.1
+    ],
+    "task_type": "auto"
+  },
+  "format": [
+    "npy",
+    "json",
+    "png"
+  ],
+  "problems": [
+    "cavity",
+    "tube",
+    "dam",
+    "cylinder"
+  ],
+  "sample_shapes": {
+    "cavity/bc": {
+      "u_dtype": "float64",
+      "u_shape": [
+        10,
+        64,
+        64
+      ],
+      "v_dtype": "float64",
+      "v_shape": [
+        10,
+        64,
+        64
+      ]
+    },
+    "cavity/geo": {
+      "u_dtype": "float64",
+      "u_shape": [
+        23,
+        64,
+        64
+      ],
+      "v_dtype": "float64",
+      "v_shape": [
+        23,
+        64,
+        64
+      ]
+    },
+    "cavity/prop": {
+      "u_dtype": "float64",
+      "u_shape": [
+        21,
+        64,
+        64
+      ],
+      "v_dtype": "float64",
+      "v_shape": [
+        21,
+        64,
+        64
+      ]
+    },
+    "cylinder/bc": {
+      "u_dtype": "float64",
+      "u_shape": [
+        620,
+        64,
+        64
+      ],
+      "v_dtype": "float64",
+      "v_shape": [
+        620,
+        64,
+        64
+      ]
+    },
+    "cylinder/geo": {
+      "u_dtype": "float64",
+      "u_shape": [
+        2000,
+        64,
+        64
+      ],
+      "v_dtype": "float64",
+      "v_shape": [
+        2000,
+        64,
+        64
+      ]
+    },
+    "cylinder/prop": {
+      "u_dtype": "float64",
+      "u_shape": [
+        1000,
+        64,
+        64
+      ],
+      "v_dtype": "float64",
+      "v_shape": [
+        1000,
+        64,
+        64
+      ]
+    },
+    "dam/bc": {
+      "u_dtype": "float64",
+      "u_shape": [
+        100,
+        64,
+        64
+      ],
+      "v_dtype": "float64",
+      "v_shape": [
+        100,
+        64,
+        64
+      ]
+    },
+    "dam/geo": {
+      "u_dtype": "float64",
+      "u_shape": [
+        100,
+        64,
+        64
+      ],
+      "v_dtype": "float64",
+      "v_shape": [
+        100,
+        64,
+        64
+      ]
+    },
+    "dam/prop": {
+      "u_dtype": "float64",
+      "u_shape": [
+        100,
+        64,
+        64
+      ],
+      "v_dtype": "float64",
+      "v_shape": [
+        100,
+        64,
+        64
+      ]
+    },
+    "tube/bc": {
+      "u_dtype": "float64",
+      "u_shape": [
+        107,
+        64,
+        64
+      ],
+      "v_dtype": "float64",
+      "v_shape": [
+        107,
+        64,
+        64
+      ]
+    },
+    "tube/geo": {
+      "u_dtype": "float64",
+      "u_shape": [
+        10,
+        64,
+        64
+      ],
+      "v_dtype": "float64",
+      "v_shape": [
+        10,
+        64,
+        64
+      ]
+    },
+    "tube/prop": {
+      "u_dtype": "float64",
+      "u_shape": [
+        14,
+        64,
+        64
+      ],
+      "v_dtype": "float64",
+      "v_shape": [
+        14,
+        64,
+        64
+      ]
+    }
+  },
+  "subset_summary": {
+    "cavity/bc": {
+      "bytes": 333978440,
+      "cases": 50,
+      "files": 250
+    },
+    "cavity/geo": {
+      "bytes": 110764806,
+      "cases": 24,
+      "files": 72
+    },
+    "cavity/prop": {
+      "bytes": 391844140,
+      "cases": 84,
+      "files": 420
+    },
+    "cylinder/bc": {
+      "bytes": 3251917186,
+      "cases": 50,
+      "files": 150
+    },
+    "cylinder/geo": {
+      "bytes": 2621448179,
+      "cases": 20,
+      "files": 60
+    },
+    "cylinder/prop": {
+      "bytes": 7602223651,
+      "cases": 116,
+      "files": 348
+    },
+    "dam/bc": {
+      "bytes": 453279636,
+      "cases": 70,
+      "files": 210
+    },
+    "dam/geo": {
+      "bytes": 327703395,
+      "cases": 50,
+      "files": 150
+    },
+    "dam/prop": {
+      "bytes": 655406760,
+      "cases": 100,
+      "files": 300
+    },
+    "tube/bc": {
+      "bytes": 64886872,
+      "cases": 50,
+      "files": 345
+    },
+    "tube/geo": {
+      "bytes": 58139897,
+      "cases": 25,
+      "files": 75
+    },
+    "tube/prop": {
+      "bytes": 145590146,
+      "cases": 100,
+      "files": 300
+    }
+  },
+  "subsets": [
+    "bc",
+    "geo",
+    "prop"
+  ]
+}
diff --git a/onescience_run_manifest.yaml b/onescience_run_manifest.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..90a19f314bcf0826927db66d44e43891be17c51a
--- /dev/null
+++ b/onescience_run_manifest.yaml
@@ -0,0 +1,309 @@
+onescience_manifest_version: "0.1"
+resource_type: dataset
+
+resource:
+  id: OneScience/cfdbench
+  name: cfdbench
+  domain: cfd
+  domain_tags: [cfd, fluid_dynamics, benchmark]
+  task: cfd_surrogate_benchmark_dataset
+  task_tags: [train_data, eval_data, inference_input, dataset_validation]
+  modalities: [gridded_field, velocity_field, case_parameters]
+  input_formats: [npy, json, png]
+  output_formats: [npy, json, png]
+  summary: CFDBench 插值数据集，包含 cavity、tube、dam、cylinder 四类 CFD 问题及 bc/geo/prop 子集。
+
+platform_resource:
+  primary:
+    platform: modelscope
+    repo_id: OneScience/cfdbench
+    repo_type: dataset
+    url: https://modelscope.cn/datasets/OneScience/cfdbench
+    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/cfdbench
+  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_CFDBENCH_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_CFDBENCH_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/cfdbench.py
+  compatibility:
+    examples_path: onescience/examples/cfd/CFDBench
+    status: examples_compatible
+  datapipe: onescience.datapipes.cfd.CFDBenchDatapipe
+
+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/tube/prop/case0050/u.npy
+    - data/tube/prop/case0050/v.npy
+    - data/tube/prop/case0050/case.json
+    - metadata/cfdbench_schema.json
+    - scripts/validate_cfdbench_dataset.py
+    - files_sha256.jsonl
+  entrypoints:
+    preflight: scripts/validate_cfdbench_dataset.py
+    validate: scripts/validate_cfdbench_dataset.py
+    inference: null
+    train: null
+    finetune: null
+    evaluate: null
+    visualize: null
+    deploy: null
+
+files:
+  model_files: []
+  dataset_files:
+    - path: data/<problem>/<subset>/case*/case.json
+      role: case_metadata
+      description_zh: 每个 CFD case 的物理参数、边界条件和几何参数元数据。
+      required: true
+      required_for: [dataset_validation, train, inference, evaluate]
+      source: {platform: modelscope, repo_id: OneScience/cfdbench, repo_type: dataset, download_method: command_ref, command_ref: commands.download.download_dataset}
+      local_path: data/<problem>/<subset>/case*/case.json
+    - path: data/<problem>/<subset>/case*/u.npy
+      role: velocity_u_field
+      description_zh: 64x64 网格上的 u 速度时间序列数组。
+      required: true
+      required_for: [dataset_validation, train, inference, evaluate]
+      source: {platform: modelscope, repo_id: OneScience/cfdbench, repo_type: dataset, download_method: command_ref, command_ref: commands.download.download_dataset}
+      local_path: data/<problem>/<subset>/case*/u.npy
+    - path: data/<problem>/<subset>/case*/v.npy
+      role: velocity_v_field
+      description_zh: 64x64 网格上的 v 速度时间序列数组。
+      required: true
+      required_for: [dataset_validation, train, inference, evaluate]
+      source: {platform: modelscope, repo_id: OneScience/cfdbench, repo_type: dataset, download_method: command_ref, command_ref: commands.download.download_dataset}
+      local_path: data/<problem>/<subset>/case*/v.npy
+    - 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/cfdbench, 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/cfdbench, repo_type: dataset, download_method: command_ref, command_ref: commands.download.download_dataset}
+      local_path: data_integrity_summary.json
+  config_files:
+    - path: metadata/cfdbench_schema.json
+      role: dataset_schema
+      description_zh: 描述 CFDBench 目录结构、case 文件、数组格式、子集统计和默认模型子集。
+      required: true
+      required_for: [dataset_validation, train, inference]
+      source: {platform: modelscope, repo_id: OneScience/cfdbench, repo_type: dataset, download_method: command_ref, command_ref: commands.download.download_dataset}
+      local_path: metadata/cfdbench_schema.json
+  sample_files:
+    - path: scripts/validate_cfdbench_dataset.py
+      role: dataset_validation_entry
+      description_zh: 数据集读取验证脚本，检查目录结构、case.json、u/v NPY shape、dtype、可读性和可选 SHA256。
+      required: true
+      required_for: [dataset_validation]
+      source: {platform: modelscope, repo_id: OneScience/cfdbench, repo_type: dataset, download_method: command_ref, command_ref: commands.download.download_dataset}
+      local_path: scripts/validate_cfdbench_dataset.py
+
+relations:
+  required_datasets: []
+  optional_datasets: []
+  compatible_models:
+    - id: OneScience/CFDBench
+      role: train_data
+      required_for: [train, inference, evaluate, visualize]
+      resource_ref:
+        platform: modelscope
+        repo_id: OneScience/CFDBench
+        repo_type: model
+        url: https://modelscope.cn/models/OneScience/CFDBench
+        revision: main
+        readme_path: README.md
+        manifest_path: onescience_run_manifest.yaml
+      expected_local_path: session_workdir/data
+      expected_env: ONESCIENCE_CFDBENCH_DATA_DIR
+
+run_matrix:
+  scenarios:
+    - name: validate_structure
+      capability: dataset_validation
+      default: true
+      required_datasets:
+        - id: OneScience/cfdbench
+          role: train_data
+          local_path: data
+      required_model_files: []
+      required_dataset_files:
+        - data/<problem>/<subset>/case*/case.json
+        - data/<problem>/<subset>/case*/u.npy
+        - data/<problem>/<subset>/case*/v.npy
+        - metadata/cfdbench_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/cfdbench
+          role: train_data
+          local_path: data
+      required_model_files: []
+      required_dataset_files: [files_sha256.jsonl, data/**]
+      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_cfdbench_model
+      capability: train
+      default: true
+      required_datasets:
+        - id: OneScience/cfdbench
+          role: train_data
+          local_path: data
+      required_model_files: [OneScience/CFDBench:conf/cfdbench.yaml]
+      required_dataset_files:
+        - data/tube/prop/case*/u.npy
+        - data/tube/bc/case*/u.npy
+        - data/tube/geo/case*/u.npy
+      preconditions:
+        - 模型仓库 OneScience/CFDBench 已下载。
+        - 设置 ONESCIENCE_CFDBENCH_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/cfdbench
+      cwd: session_workdir
+    - name: download_model
+      command: modelscope download --model OneScience/CFDBench
+      cwd: session_workdir
+  prepare:
+    - name: export_dataset_env
+      command: export ONESCIENCE_CFDBENCH_DATA_DIR=/path/to/OneScience_cfdbench/data
+      cwd: .
+  preflight:
+    - name: validate_dataset
+      command: python scripts/validate_cfdbench_dataset.py
+      cwd: .
+    - name: validate_dataset_full_hash
+      command: python scripts/validate_cfdbench_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: 2681 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/cfdbench 数据集仓库根目录，且 data 目录存在。
+  - name: missing_case_file
+    symptom: missing required case file
+    action: 对照 files_sha256.jsonl 重新上传或重新下载缺失 case。
+  - name: shape_mismatch
+    symptom: u/v shape mismatch
+    action: 确认同一 case 下 u.npy 和 v.npy 来自同一数据版本。
+  - name: checksum_mismatch
+    symptom: sha256 mismatch
+    action: 删除损坏文件后重新下载 OneScience/cfdbench。
+  - name: model_cannot_find_data
+    symptom: 模型侧报告 ONESCIENCE_CFDBENCH_DATA_DIR is not set 或 Problem path not found
+    action: 将 ONESCIENCE_CFDBENCH_DATA_DIR 设置为本仓库 data 目录，而不是仓库根目录。
+
+domain_extension:
+  cfd:
+    dataset_family: CFDBench
+    problems: [cavity, tube, dam, cylinder]
+    subsets: [bc, geo, prop]
+    file_count: 2681
+    total_size_bytes: 16017183719
+    grid_resolution: 64x64
+    variables: [u_velocity, v_velocity]
+    case_metadata: case.json
diff --git a/scripts/validate_cfdbench_dataset.py b/scripts/validate_cfdbench_dataset.py
new file mode 100644
index 0000000000000000000000000000000000000000..084854c7f7c4f8b4dfeeba715abd580b5dc1d520
--- /dev/null
+++ b/scripts/validate_cfdbench_dataset.py
@@ -0,0 +1,136 @@
+#!/usr/bin/env python3
+"""Validate the standardized CFDBench dataset package."""
+
+from __future__ import annotations
+
+import argparse
+import hashlib
+import json
+import sys
+from collections import defaultdict
+from pathlib import Path
+
+import numpy as np
+
+
+REPO_ROOT = Path(__file__).resolve().parents[1]
+DATA_ROOT = REPO_ROOT / "data"
+CHECKSUM_PATH = REPO_ROOT / "files_sha256.jsonl"
+PROBLEMS = ("cavity", "tube", "dam", "cylinder")
+SUBSETS = ("bc", "geo", "prop")
+REQUIRED_CASE_FILES = ("case.json", "u.npy", "v.npy")
+OPTIONAL_EXTENSIONS = {".png"}
+
+
+def fail(message: str) -> None:
+    print(f"[FAIL] {message}")
+    raise SystemExit(1)
+
+
+def ok(message: str) -> None:
+    print(f"[OK] {message}")
+
+
+def warn(message: str) -> None:
+    print(f"[WARN] {message}")
+
+
+def sha256_file(path: Path) -> str:
+    digest = hashlib.sha256()
+    with path.open("rb") as handle:
+        for chunk in iter(lambda: handle.read(1024 * 1024), b""):
+            digest.update(chunk)
+    return digest.hexdigest()
+
+
+def iter_case_dirs() -> list[Path]:
+    case_dirs = []
+    for problem in PROBLEMS:
+        problem_dir = DATA_ROOT / problem
+        if not problem_dir.is_dir():
+            fail(f"missing problem directory: {problem_dir}")
+        for subset in SUBSETS:
+            subset_dir = problem_dir / subset
+            if subset_dir.is_dir():
+                cases = sorted(subset_dir.glob("case*"), key=lambda p: int(p.name[4:]))
+                if not cases:
+                    fail(f"empty subset directory: {subset_dir}")
+                case_dirs.extend(cases)
+    return case_dirs
+
+
+def validate_structure(sample_cases_per_subset: int) -> None:
+    if not DATA_ROOT.is_dir():
+        fail(f"dataset data root does not exist: {DATA_ROOT}")
+    counts = defaultdict(int)
+    sampled = 0
+    for problem in PROBLEMS:
+        for subset in SUBSETS:
+            subset_dir = DATA_ROOT / problem / subset
+            if not subset_dir.is_dir():
+                continue
+            cases = sorted(subset_dir.glob("case*"), key=lambda p: int(p.name[4:]))
+            counts[f"{problem}/{subset}"] = len(cases)
+            for case_dir in cases[:sample_cases_per_subset]:
+                for name in REQUIRED_CASE_FILES:
+                    if not (case_dir / name).is_file():
+                        fail(f"missing required case file: {case_dir / name}")
+                params = json.loads((case_dir / "case.json").read_text(encoding="utf-8"))
+                if not isinstance(params, dict) or not params:
+                    fail(f"case.json must be a non-empty object: {case_dir / 'case.json'}")
+                u = np.load(case_dir / "u.npy", mmap_mode="r")
+                v = np.load(case_dir / "v.npy", mmap_mode="r")
+                if u.shape != v.shape:
+                    fail(f"u/v shape mismatch: {case_dir}: {u.shape} vs {v.shape}")
+                if u.ndim != 3:
+                    fail(f"u/v arrays must be 3D time/grid arrays: {case_dir}: {u.shape}")
+                if not np.issubdtype(u.dtype, np.number) or not np.issubdtype(v.dtype, np.number):
+                    fail(f"u/v dtype must be numeric: {case_dir}: {u.dtype}, {v.dtype}")
+                if not np.isfinite(np.asarray(u[0])).all() or not np.isfinite(np.asarray(v[0])).all():
+                    fail(f"first frame contains non-finite values: {case_dir}")
+                sampled += 1
+    if not counts:
+        fail("no CFDBench subsets found")
+    ok(f"dataset structure and sampled arrays are valid: {sum(counts.values())} cases, sampled {sampled}")
+
+
+def verify_checksums(full_hash: bool) -> None:
+    if not CHECKSUM_PATH.exists():
+        warn(f"checksum manifest is not present: {CHECKSUM_PATH}")
+        return
+    records = []
+    for line in CHECKSUM_PATH.read_text(encoding="utf-8").splitlines():
+        if line.strip():
+            records.append(json.loads(line))
+    if not records:
+        fail("checksum manifest is empty")
+    for record in records:
+        path = REPO_ROOT / record["path"]
+        if not path.is_file():
+            fail(f"checksum entry points to missing file: {path}")
+        size = path.stat().st_size
+        if size != record["size"]:
+            fail(f"size mismatch for {path}: expected {record['size']}, got {size}")
+        if full_hash:
+            digest = sha256_file(path)
+            if digest != record["sha256"]:
+                fail(f"sha256 mismatch for {path}")
+    mode = "size+sha256" if full_hash else "size"
+    ok(f"checksum manifest verified in {mode} mode: {len(records)} files")
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--sample-cases-per-subset", type=int, default=2)
+    parser.add_argument("--full-hash", action="store_true")
+    args = parser.parse_args()
+    if args.sample_cases_per_subset < 1:
+        fail("--sample-cases-per-subset must be positive")
+    validate_structure(args.sample_cases_per_subset)
+    verify_checksums(args.full_hash)
+    ok("dataset validation completed")
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())