Download tasks/task_019/metadata.json from OpenMOSS-Team/SWE-bench-Science: direct link, hf CLI and curl.
- Browser
- Download file 874 Bytes
-
https://huggingface.co/datasets/OpenMOSS-Team/SWE-bench-Science/resolve/main/tasks/task_019/metadata.json
- Command line
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hf download hf://datasets/OpenMOSS-Team/SWE-bench-Science/tasks/task_019/metadata.json
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curl -L -o metadata.json https://huggingface.co/datasets/OpenMOSS-Team/SWE-bench-Science/resolve/main/tasks/task_019/metadata.json
874 Bytes
| { | |
| "task_id": "019", | |
| "science_knowledge_ablation": true, | |
| "title": "Complete robust topic-to-cistrome binarization for independent probability matrices", | |
| "domain": "single-cell-chromatin-accessibility", | |
| "language": "python", | |
| "source_repository": "https://github.com/aertslab/pycisTopic", | |
| "source_commit": "cb5f54111d2affd89ad732c20c14dab6138026f0", | |
| "source_license": "Academic-NonCommercial", | |
| "license_source": "source/LICENSE.txt", | |
| "gpl_family": false, | |
| "restricted_license": true, | |
| "license_gate": "noncommercial", | |
| "material_license": null, | |
| "material_license_source": null, | |
| "material_restricted": false, | |
| "materials_gate": false, | |
| "materials_manifest_sha256": "", | |
| "material_licenses": [], | |
| "materials_provenance": "", | |
| "restricted_reason": "", | |
| "public_payload_sha256": "c4b61cbc1c1a90b7f7263eb3c0536a2595d0d3c66d7ee9b83633b576ad02123b" | |
| } | |