Download tasks/task_020/metadata.json from OpenMOSS-Team/SWE-bench-Science: direct link, hf CLI and curl.
- Browser
- Download file 1.02 kB
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https://huggingface.co/datasets/OpenMOSS-Team/SWE-bench-Science/resolve/main/tasks/task_020/metadata.json
- Command line
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hf download hf://datasets/OpenMOSS-Team/SWE-bench-Science/tasks/task_020/metadata.json
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curl -L -o metadata.json https://huggingface.co/datasets/OpenMOSS-Team/SWE-bench-Science/resolve/main/tasks/task_020/metadata.json
1.02 kB
| { | |
| "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" | |
| } | |