SWE-bench-Science / tasks /task_020 /metadata.json
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Add science ablation labels and batch runner documentation
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{
"task_id": "020",
"science_knowledge_ablation": true,
"title": "Complete an edge-graph geometry and force/virial capability for atomistic models",
"domain": "atomistic-machine-learning-and-molecular-simulation",
"language": "python",
"source_repository": "https://github.com/deepmodeling/deepmd-kit",
"source_commit": "44f44acb2b9a56f55609ec7f0594d9b6fa01cb92",
"source_license": "LGPL-3.0-or-later",
"license_source": "source/LICENSE",
"gpl_family": true,
"restricted_license": true,
"license_gate": "gpl-family",
"material_license": "LGPL-3.0-or-later",
"material_license_source": "environment/repo/LICENSE",
"material_restricted": true,
"materials_gate": true,
"materials_manifest_sha256": "",
"material_licenses": [],
"materials_provenance": "",
"restricted_reason": "The task source is an LGPL-3.0-or-later DeePMD-kit excerpt; explicit restricted-license opt-in is required.",
"public_payload_sha256": "5adc95172533092b7337414f234e4502f3c394ea5dc46e318d8066afb4824212"
}