onescience_manifest_version: "0.1" resource_type: dataset resource: id: OneScience/water name: water domain: matchem domain_tags: - matchem - water - atomistic_dataset task: mlip_training_data task_tags: - mlip - energy_prediction - force_prediction - extxyz_training modalities: - atomistic_structure input_formats: - extxyz output_formats: [] summary: 面向 MACE 水体系势能面训练和评测示例的 extxyz 数据集。 platform_resource: primary: platform: modelscope repo_id: OneScience/water repo_type: dataset url: https://modelscope.cn/datasets/OneScience/water revision: main readme_path: README.md manifest_path: manifest.yaml mirrors: [] access: visibility: public license: null website_integration: enabled: true click_target: platform: modelscope resource_url: https://modelscope.cn/datasets/OneScience/water llm_handoff: readme_required: true manifest_required: true download_readme_first: true resolve_related_models: true default_run_goal: minimal_validation runtime: enabled: true onescience_domain: matchem min_onescience_version: null supported_execution: - local - local_slurm - remote_slurm - scnet_mcp 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 matchem source_paths: - matchem/mace/water compatibility: examples_path: examples/matchem/mace status: examples_compatible runtime_package: kind: standard_runtime_package package_root: . standard_layout: workdir: . config_dir: metadata checkpoint_dir: null data_dir: data output_dir: outputs apply_policy: mode: direct_use target: session_workdir overwrite: true protect_installed_onescience: true entry_files: - scripts/validate_water.py - metadata/schema.yaml - metadata/sha256_manifest.txt entrypoints: preflight: scripts/validate_water.py inference: null train: null finetune: null evaluate: null visualize: null deploy: null derivation: source_file: data/water/dataset_1593.xyz generated_files: - path: data/water/water_train.xyz method: frames[0:1393] reason: MACE water 配置读取 water_train.xyz;原始目录只有 dataset_1593.xyz,因此按 gene_xyz.py 逻辑派生。 - path: data/water/water_test.xyz method: frames[1393:1593] reason: MACE water 配置读取 water_test.xyz;原始目录只有 dataset_1593.xyz,因此按 gene_xyz.py 逻辑派生。 verification: water_train.xyz 与 water_test.xyz 字节级拼接后等于 dataset_1593.xyz。 files: model_files: [] dataset_files: - id: water_full_extxyz path: data/water/dataset_1593.xyz role: metadata description_zh: 原始 water extxyz 全量文件,包含 1593 帧,每帧 192 个原子。 required: true required_for: [preflight] format: extxyz source: platform: modelscope repo_id: OneScience/water repo_type: dataset path: data/water/dataset_1593.xyz revision: main url: null download_method: command_ref command_ref: commands.download.download_dataset_package mirrors: [] local_path: session_workdir/data/water/dataset_1593.xyz size: 34M checksum: metadata/sha256_manifest.txt large_file: false - id: water_train_extxyz path: data/water/water_train.xyz role: train_split description_zh: 从 dataset_1593.xyz 前 1393 帧派生的 MACE 训练文件。 required: true required_for: [preflight, train] format: extxyz source: platform: modelscope repo_id: OneScience/water repo_type: dataset path: data/water/water_train.xyz revision: main url: null download_method: command_ref command_ref: commands.download.download_dataset_package mirrors: [] local_path: session_workdir/data/water/water_train.xyz size: 30M checksum: metadata/sha256_manifest.txt large_file: false - id: water_test_extxyz path: data/water/water_test.xyz role: test_split description_zh: 从 dataset_1593.xyz 后 200 帧派生的 MACE 测试文件。 required: true required_for: [preflight, evaluate] format: extxyz source: platform: modelscope repo_id: OneScience/water repo_type: dataset path: data/water/water_test.xyz revision: main url: null download_method: command_ref command_ref: commands.download.download_dataset_package mirrors: [] local_path: session_workdir/data/water/water_test.xyz size: 4.3M checksum: metadata/sha256_manifest.txt large_file: false - id: water_generation_script path: data/water/gene_xyz.py role: metadata description_zh: 原始目录提供的 split 生成脚本,说明 train/test 的切分方式。 required: false required_for: [preflight] format: py source: platform: modelscope repo_id: OneScience/water repo_type: dataset path: data/water/gene_xyz.py revision: main url: null download_method: command_ref command_ref: commands.download.download_dataset_package mirrors: [] local_path: session_workdir/data/water/gene_xyz.py size: 236B checksum: metadata/sha256_manifest.txt large_file: false config_files: - id: schema path: metadata/schema.yaml role: schema description_zh: water extxyz 数据结构、字段名、shape、单位、split 和 MACE 配置键说明。 required: true required_for: [preflight, train, evaluate] format: yaml source: platform: modelscope repo_id: OneScience/water repo_type: dataset path: metadata/schema.yaml revision: main url: null download_method: command_ref command_ref: commands.download.download_dataset_package mirrors: [] local_path: session_workdir/metadata/schema.yaml size: null checksum: null large_file: false - id: sha256_manifest path: metadata/sha256_manifest.txt role: checksum description_zh: water 数据文件 SHA256 清单,用于校验整理后数据与原始数据及派生 split 一致。 required: true required_for: [preflight] format: txt source: platform: modelscope repo_id: OneScience/water repo_type: dataset path: metadata/sha256_manifest.txt revision: main url: null download_method: command_ref command_ref: commands.download.download_dataset_package mirrors: [] local_path: session_workdir/metadata/sha256_manifest.txt size: null checksum: null large_file: false sample_files: - id: validate_script path: scripts/validate_water.py role: script description_zh: water 数据读取验证脚本,检查 extxyz 字段、shape、帧数、元素集合、SHA256 和 split 还原。 required: true required_for: [preflight] format: py source: platform: modelscope repo_id: OneScience/water repo_type: dataset path: scripts/validate_water.py revision: main url: null download_method: command_ref command_ref: commands.download.download_dataset_package mirrors: [] local_path: session_workdir/scripts/validate_water.py size: null checksum: null large_file: false dataset: format: - extxyz sample_unit: 单个水体系构型,包含元素、坐标、TotEnergy、force 和 Z。 schema: path: metadata/schema.yaml splits: full: path: data/water/dataset_1593.xyz frames: 1593 atoms_per_frame: 192 train: path: data/water/water_train.xyz frames: 1393 atoms_per_frame: 192 validation: path: null note_zh: "MACE water 示例通过 valid_fraction: 0.05 从训练文件划分验证集。" test: path: data/water/water_test.xyz frames: 200 atoms_per_frame: 192 relations: required_datasets: [] optional_datasets: [] compatible_models: - id: OneScience/MACE role: train_data required_for: [preflight, train, evaluate] resource_ref: platform: modelscope repo_id: OneScience/MACE repo_type: model url: https://modelscope.cn/models/OneScience/MACE revision: main readme_path: README.md manifest_path: manifest.yaml expected_local_path: session_workdir/data/water adapter: null run_matrix: scenarios: - name: validate_dataset default: true capability: preflight required_datasets: - id: OneScience/water role: train_data local_path: data/water required_model_files: [] required_data_files: - data/water/dataset_1593.xyz - data/water/water_train.xyz - data/water/water_test.xyz - metadata/sha256_manifest.txt preconditions: - 已下载数据集仓库 OneScience/water。 command_refs: - commands.preflight.validate_dataset outputs: - path: stdout description_zh: 数据字段、帧数、split 还原和 SHA256 检查结果。 capabilities: inference: false train: false finetune: false evaluate: false visualize: false deploy: false commands: download: - name: download_dataset_package target: dataset repo_id: OneScience/water source: . local_path: session_workdir/ required: true required_for: [preflight, train, evaluate] cwd: . command: modelscope download --dataset OneScience/water --local_dir session_workdir expected_outputs: - path: session_workdir/data/water/water_train.xyz type: file success_criteria: - exit_code == 0 - output_path_exists preflight: - name: validate_dataset description: 验证 water extxyz 文件结构、字段名、帧数、split 还原和 SHA256。 cwd: . command: python scripts/validate_water.py --dataset-root data/water --checksum-manifest metadata/sha256_manifest.txt required_files: - data/water/dataset_1593.xyz - data/water/water_train.xyz - data/water/water_test.xyz - metadata/sha256_manifest.txt - scripts/validate_water.py required_env: - python expected_outputs: - path: stdout type: text success_criteria: - exit_code == 0 prepare: [] inference: [] train: [] finetune: [] evaluate: [] visualize: [] deploy: [] expected_outputs: - path: stdout type: text description_zh: 验证脚本输出每个 split、字段、split 还原和 SHA256 的 OK 结果。 diagnostics: - error_pattern: "缺少文件" likely_cause: 数据集下载不完整或运行 cwd 不在数据集仓库根目录。 action: 重新执行 modelscope download --dataset OneScience/water,并在下载后的数据集根目录运行验证命令。 - error_pattern: "SHA256 不一致" likely_cause: 文件被截断、损坏或被替换。 action: 删除损坏文件后重新下载数据集。 - error_pattern: "TotEnergy" likely_cause: extxyz comment 中缺少 MACE water 配置要求的能量字段。 action: 检查数据是否为本仓库 water 数据,或同步修改模型配置 energy_key。 - error_pattern: "force" likely_cause: extxyz Properties 中缺少 MACE water 配置要求的力字段。 action: 检查数据是否为本仓库 water 数据,或同步修改模型配置 forces_key。 - error_pattern: "不能字节级还原" likely_cause: 派生的 water_train.xyz 或 water_test.xyz 与 dataset_1593.xyz 的切分方式不一致。 action: 按 gene_xyz.py 重新从 dataset_1593.xyz 生成前 1393 帧训练和后 200 帧测试。 domain_extension: matchem: chemical_system: elements: - H - O properties: - energy - forces units: energy: eV forces: eV/Angstrom structure_format: - extxyz large_resource: enabled: false total_size: 68M file_count: 4 download_policy: full default_download: full minimal_files: - data/water/water_train.xyz - data/water/water_test.xyz - data/water/dataset_1593.xyz reproducibility: level: minimal goal: 完成一次 water extxyz 数据读取、split 还原和 SHA256 校验。 command_ref: commands.preflight.validate_dataset expected_runtime: 1-2 minutes expected_outputs: - stdout