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resource_type: dataset
resource:
id: OneScience/DMC
name: DMC
domain: matchem
domain_tags:
- matchem
- molecular_dataset
- solvent_xtb
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 入门训练示例的 DMC 溶剂 XTB extxyz 数据集。
platform_resource:
primary:
platform: modelscope
repo_id: OneScience/DMC
repo_type: dataset
url: https://modelscope.cn/datasets/OneScience/DMC
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/DMC
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/DMC
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_dmc.py
- metadata/schema.yaml
- metadata/sha256_manifest.txt
entrypoints:
preflight: scripts/validate_dmc.py
inference: null
train: null
finetune: null
evaluate: null
visualize: null
deploy: null
files:
model_files: []
dataset_files:
- id: dmc_train_extxyz
path: data/DMC/solvent_xtb_train_200.xyz
role: train_split
description_zh: DMC 溶剂 XTB 训练 extxyz 文件,包含 203 帧,其中 3 帧为 isolated atom,200 帧为训练构型。
required: true
required_for: [preflight, train]
format: extxyz
source:
platform: modelscope
repo_id: OneScience/DMC
repo_type: dataset
path: data/DMC/solvent_xtb_train_200.xyz
revision: main
url: null
download_method: command_ref
command_ref: commands.download.download_dataset_package
mirrors: []
local_path: session_workdir/data/DMC/solvent_xtb_train_200.xyz
size: 672K
checksum: metadata/sha256_manifest.txt
large_file: false
- id: dmc_test_extxyz
path: data/DMC/solvent_xtb_test.xyz
role: test_split
description_zh: DMC 溶剂 XTB 测试 extxyz 文件,包含 1000 帧,用于 MACE 示例训练后的测试评估。
required: true
required_for: [preflight, evaluate]
format: extxyz
source:
platform: modelscope
repo_id: OneScience/DMC
repo_type: dataset
path: data/DMC/solvent_xtb_test.xyz
revision: main
url: null
download_method: command_ref
command_ref: commands.download.download_dataset_package
mirrors: []
local_path: session_workdir/data/DMC/solvent_xtb_test.xyz
size: 3.4M
checksum: metadata/sha256_manifest.txt
large_file: false
config_files:
- id: schema
path: metadata/schema.yaml
role: schema
description_zh: DMC 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/DMC
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: DMC 数据文件 SHA256 清单,用于校验整理后数据与原始数据一致。
required: true
required_for: [preflight]
format: txt
source:
platform: modelscope
repo_id: OneScience/DMC
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_dmc.py
role: script
description_zh: DMC 数据读取验证脚本,检查 extxyz 字段、shape、帧数、元素集合和 SHA256。
required: true
required_for: [preflight]
format: py
source:
platform: modelscope
repo_id: OneScience/DMC
repo_type: dataset
path: scripts/validate_dmc.py
revision: main
url: null
download_method: command_ref
command_ref: commands.download.download_dataset_package
mirrors: []
local_path: session_workdir/scripts/validate_dmc.py
size: null
checksum: null
large_file: false
dataset:
format:
- extxyz
sample_unit: 单个分子构型,包含元素、坐标、energy_xtb 和 forces_xtb。
schema:
path: metadata/schema.yaml
splits:
train:
path: data/DMC/solvent_xtb_train_200.xyz
frames: 203
validation:
path: null
note_zh: "MACE DMC 示例通过 valid_fraction: 0.10 从训练文件划分验证集。"
test:
path: data/DMC/solvent_xtb_test.xyz
frames: 1000
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/DMC
adapter: null
run_matrix:
scenarios:
- name: validate_dataset
default: true
capability: preflight
required_datasets:
- id: OneScience/DMC
role: train_data
local_path: data/DMC
required_model_files: []
required_data_files:
- data/DMC/solvent_xtb_train_200.xyz
- data/DMC/solvent_xtb_test.xyz
- metadata/sha256_manifest.txt
preconditions:
- 已下载数据集仓库 OneScience/DMC。
command_refs:
- commands.preflight.validate_dataset
outputs:
- path: stdout
description_zh: 数据字段、帧数、元素集合和 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/DMC
source: .
local_path: session_workdir/
required: true
required_for: [preflight, train, evaluate]
cwd: .
command: modelscope download --dataset OneScience/DMC --local_dir session_workdir
expected_outputs:
- path: session_workdir/data/DMC/solvent_xtb_train_200.xyz
type: file
success_criteria:
- exit_code == 0
- output_path_exists
preflight:
- name: validate_dataset
description: 验证 DMC extxyz 文件结构、字段名、帧数和 SHA256。
cwd: .
command: python scripts/validate_dmc.py --dataset-root data/DMC --checksum-manifest metadata/sha256_manifest.txt
required_files:
- data/DMC/solvent_xtb_train_200.xyz
- data/DMC/solvent_xtb_test.xyz
- metadata/sha256_manifest.txt
- scripts/validate_dmc.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/DMC,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: "energy_xtb"
likely_cause: extxyz comment 中缺少 MACE DMC 配置要求的能量字段。
action: 检查数据是否为本仓库 DMC XTB 数据,或同步修改模型配置 energy_key。
- error_pattern: "forces_xtb"
likely_cause: extxyz Properties 中缺少 MACE DMC 配置要求的力字段。
action: 检查数据是否为本仓库 DMC XTB 数据,或同步修改模型配置 forces_key。
domain_extension:
matchem:
chemical_system:
elements:
- H
- C
- O
properties:
- energy
- forces
units:
energy: eV
forces: eV/Angstrom
structure_format:
- extxyz
large_resource:
enabled: false
total_size: 4.1M
file_count: 2
download_policy: full
default_download: full
minimal_files:
- data/DMC/solvent_xtb_train_200.xyz
- data/DMC/solvent_xtb_test.xyz
reproducibility:
level: minimal
goal: 完成一次 DMC extxyz 数据读取和 SHA256 校验。
command_ref: commands.preflight.validate_dataset
expected_runtime: less than 1 minute
expected_outputs:
- stdout
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