SWE-bench-Science / tasks /task_003 /metadata.json
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Add science ablation labels and batch runner documentation
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{
"task_id": "003",
"science_knowledge_ablation": true,
"title": "Repair extxyz stress and virial tensor-label preservation",
"domain": "atomistic-machine-learning-data",
"language": "python",
"source_repository": "https://github.com/deepmodeling/dpdata",
"source_commit": "4d8048b51ee0cc00caa4854844c28b7f892fd908",
"source_license": "LGPL-3.0-family",
"license_source": "LICENSE",
"gpl_family": true,
"restricted_license": true,
"license_gate": "gpl-family",
"material_license": "",
"material_license_source": "",
"material_restricted": false,
"materials_gate": false,
"materials_manifest_sha256": "",
"material_licenses": [],
"materials_provenance": "",
"restricted_reason": "",
"public_payload_sha256": "1f00289f07104c48c4894348dc606860079c7e5647e213570bb613d52603927e"
}