Publish licensing audit and Docker Hub digests for tasks 077-090
Browse files- NOTICE.md +40 -0
- README.md +5 -3
- data/statistics.md +2 -3
- data/tasks.csv +0 -0
- manifests/tasks.jsonl +13 -13
NOTICE.md
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# SWE-bench Science Notices
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The root `LICENSE` applies to the project-owned release tooling and documentation
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in this repository, unless a file states otherwise.
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Task metadata, task instructions, upstream source snapshots, dependencies, and
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Docker image contents may be derived from third-party projects. They remain under
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their original licenses and are not relicensed by the root MIT license. The
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canonical per-task license, provenance URL, and license gate are recorded in
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`huggingface/data/tasks.csv` and each task metadata file.
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The release boundary intentionally excludes complete source snapshots, private
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tests, graders, reference solutions, model patches, credentials, and run logs
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from GitHub and the Hugging Face thin snapshot. Full task source is used only by
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the local build staging workflow and by the corresponding Docker image build.
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For GPL/LGPL/AGPL-family and academic non-commercial task images, the image
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build must preserve the upstream license and notice files. The
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`--allow-restricted-licenses` option selects those tasks for materialization; it
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is not a substitute for the applicable license obligations.
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## Task-Specific Material Provenance
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Tasks 076-090 do not redistribute article or supporting-information PDFs. The
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paper references in their public notes are citations, not bundled copies.
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- Task 084 includes selected ABACUS relaxation test fixtures from
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`deepmodeling/dpdata`. The source commits and reorganization note are recorded
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in `fixtures/PROVENANCE.md` inside the environment image; the files remain
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LGPL-3.0-or-later.
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- Task 085 includes 16 C/H/N/O files from the official MIO 1-1 v1.1.0 parameter
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release. They are byte-identical to the release files and remain CC BY-SA
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4.0; the full license and attribution are bundled with them.
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- Task 089 uses a benchmark-authored synthetic ORCA-style text fixture. No ORCA
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output, manual content, publication data, or upstream discussion values are
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redistributed by that fixture.
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Task 083 excludes the unrelated upstream methane tutorial that cited a book
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chapter and linked an externally hosted figure. It is not needed to build or
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evaluate the task.
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README.md
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@@ -185,9 +185,11 @@ candidate fails.
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`selection.json` records the exact task ids. Each row in `data/tasks.csv` records
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the upstream repository, base commit, implementation language, source license,
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environment digest, and verifier digest. The
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the release repository's MIT terms; task
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The dataset is independent of GitHub at runtime. After this snapshot is
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downloaded, task materialization and evaluation use the local bundle plus Docker
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`selection.json` records the exact task ids. Each row in `data/tasks.csv` records
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the upstream repository, base commit, implementation language, source license,
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material licenses and provenance, environment digest, and verifier digest. The
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project tools and metadata follow the release repository's MIT terms; task
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source and fixtures retain their upstream licenses. Dataset-level notices are
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in [`NOTICE.md`](NOTICE.md), and affected thin task bundles also include
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`fixtures/PROVENANCE.md`.
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The dataset is independent of GitHub at runtime. After this snapshot is
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downloaded, task materialization and evaluation use the local bundle plus Docker
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data/statistics.md
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| Value | Count |
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| --- | ---: |
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| `AGPL-family` |
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| `Academic-NonCommercial` | 1 |
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| `Apache-2.0` | 13 |
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| `BSD-2-Clause` | 2 |
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| `GPL-3.0` | 1 |
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| `GPL-3.0-or-later` | 1 |
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| `LGPL-2.1-family` | 2 |
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| `LGPL-3.0` |
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| `LGPL-3.0-family` | 6 |
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| `LGPL-3.0-or-later` | 2 |
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| `LGPL-family` | 1 |
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| `MIT` | 46 |
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| Value | Count |
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| --- | ---: |
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| `AGPL-family` | 3 |
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| `Academic-NonCommercial` | 1 |
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| `Apache-2.0` | 13 |
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| `BSD-2-Clause` | 2 |
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| `GPL-3.0` | 1 |
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| `GPL-3.0-or-later` | 1 |
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| `LGPL-2.1-family` | 2 |
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| `LGPL-3.0-family` | 8 |
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| `LGPL-3.0-or-later` | 2 |
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| `LGPL-family` | 1 |
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| `MIT` | 46 |
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data/tasks.csv
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See raw diff
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manifests/tasks.jsonl
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{"base_commit": "ab1c5a33031a2e64581f5e663ef8e2f6203a5220", "domain": "plasma-stability", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-010:v0.1.0@sha256:647be22b8cc7a897a02a21d624e72a02f3ee49ff44f6524e85d6e244ecb677a7", "environment_image_digest": "sha256:647be22b8cc7a897a02a21d624e72a02f3ee49ff44f6524e85d6e244ecb677a7", "environment_image_id": "sha256:647be22b8cc7a897a02a21d624e72a02f3ee49ff44f6524e85d6e244ecb677a7", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-010:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "github-api:LICENSE@ab1c5a33031a2e64581f5e663ef8e2f6203a5220", "public_payload_sha256": "dffb8a232fcdf0541d6536a2ddfc22ec92e5e68aa704ee5e49b19f75cdfd21b3", "release_id": "010", "repository_url": "https://github.com/PlasmaControl/DESC", "restricted_license": false, "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_010", "title": "Complete alternate perturbation-representation support", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-010:v0.1.0@sha256:fe5b09f4a5b92039fc793cd50a3feb28c9828eed93a42e4392fb2ea0d0402d11", "verifier_image_digest": "sha256:fe5b09f4a5b92039fc793cd50a3feb28c9828eed93a42e4392fb2ea0d0402d11", "verifier_image_id": "sha256:fe5b09f4a5b92039fc793cd50a3feb28c9828eed93a42e4392fb2ea0d0402d11", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-010:v0.1.0"}
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{"base_commit": "ab1c5a33031a2e64581f5e663ef8e2f6203a5220", "domain": "plasma-stability", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-011:v0.1.0@sha256:9ad40bda1a487a22ba30afd79d7c99cc16533444404a653f74c21c189855acbc", "environment_image_digest": "sha256:9ad40bda1a487a22ba30afd79d7c99cc16533444404a653f74c21c189855acbc", "environment_image_id": "sha256:9ad40bda1a487a22ba30afd79d7c99cc16533444404a653f74c21c189855acbc", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-011:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "github-api:LICENSE@ab1c5a33031a2e64581f5e663ef8e2f6203a5220", "public_payload_sha256": "28c1ef74121cffdb5d98bd3c3bceb889a974a02f638de61d916b784f1c27f153", "release_id": "011", "repository_url": "https://github.com/PlasmaControl/DESC", "restricted_license": false, "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_011", "title": "Complete the Missing Response Capability", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-011:v0.1.0@sha256:a2cce1bf22739b0728b7de005fb8bf8473fd95cc362409fc529a918dd4ca87b7", "verifier_image_digest": "sha256:a2cce1bf22739b0728b7de005fb8bf8473fd95cc362409fc529a918dd4ca87b7", "verifier_image_id": "sha256:a2cce1bf22739b0728b7de005fb8bf8473fd95cc362409fc529a918dd4ca87b7", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-011:v0.1.0"}
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{"base_commit": "ab1c5a33031a2e64581f5e663ef8e2f6203a5220", "domain": "plasma-stability", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-012:v0.1.0@sha256:4b4284b2dddfead4001e9be44b2dc8807b7b30043dff03541cbfe925bf44b066", "environment_image_digest": "sha256:4b4284b2dddfead4001e9be44b2dc8807b7b30043dff03541cbfe925bf44b066", "environment_image_id": "sha256:4b4284b2dddfead4001e9be44b2dc8807b7b30043dff03541cbfe925bf44b066", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-012:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "github-api:LICENSE@ab1c5a33031a2e64581f5e663ef8e2f6203a5220", "public_payload_sha256": "1b3d9c866f207e617fec2d02f7f907fb8825a73dddaf58c8e3ea8428efd36e36", "release_id": "012", "repository_url": "https://github.com/PlasmaControl/DESC", "restricted_license": false, "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_012", "title": "Complete 3-D Cross-n FOURIN Spectral Coupling", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-012:v0.1.0@sha256:3ccc8ecdaed2fce6d60b926a927315995930a3f75a1713470564b11f2622e47c", "verifier_image_digest": "sha256:3ccc8ecdaed2fce6d60b926a927315995930a3f75a1713470564b11f2622e47c", "verifier_image_id": "sha256:3ccc8ecdaed2fce6d60b926a927315995930a3f75a1713470564b11f2622e47c", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-012:v0.1.0"}
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-
{"base_commit": "ab1c5a33031a2e64581f5e663ef8e2f6203a5220", "domain": "plasma-stability", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-013:v0.1.0@sha256:
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-
{"base_commit": "ab1c5a33031a2e64581f5e663ef8e2f6203a5220", "domain": "plasma-stability", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-014:v0.1.0@sha256:
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{"base_commit": "", "domain": "magnetic-resonance-spin-dynamics", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-matlab-octave-task-015:v0.1.0@sha256:b7ff9bd36cb3192e650ec44bf8e67c759a2082b0c7e4e75ed482995d476ba25b", "environment_image_digest": "sha256:b7ff9bd36cb3192e650ec44bf8e67c759a2082b0c7e4e75ed482995d476ba25b", "environment_image_id": "sha256:b7ff9bd36cb3192e650ec44bf8e67c759a2082b0c7e4e75ed482995d476ba25b", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-matlab-octave-task-015:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "matlab-octave", "license_gate": "none", "license_source": "LICENSE.md", "public_payload_sha256": "af27bc600100b47a8f5e5bf4102267581618fe4720fbad521134ab3e0923f9d2", "release_id": "015", "repository_url": "https://github.com/IlyaKuprov/Spinach", "restricted_license": false, "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_015", "title": "Restore thermal-equilibrium invariants in a Liouville-space relaxation workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-matlab-octave-task-015:v0.1.0@sha256:c177454ee8a6507ed2decf46b803a405d92b326da3d7de660197e125ff273699", "verifier_image_digest": "sha256:c177454ee8a6507ed2decf46b803a405d92b326da3d7de660197e125ff273699", "verifier_image_id": "sha256:c177454ee8a6507ed2decf46b803a405d92b326da3d7de660197e125ff273699", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-matlab-octave-task-015:v0.1.0"}
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{"base_commit": "a341a2f0ede26735f744d6d5e3b0f7ac1861cfe9", "domain": "chromatin-accessibility peak calling", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-cython-task-016:v0.1.0@sha256:6d34aa3b31fbe05c100f041765d9a80c9a389db4a58dd3dec6d051cf756b9ff3", "environment_image_digest": "sha256:6d34aa3b31fbe05c100f041765d9a80c9a389db4a58dd3dec6d051cf756b9ff3", "environment_image_id": "sha256:6d34aa3b31fbe05c100f041765d9a80c9a389db4a58dd3dec6d051cf756b9ff3", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-cython-task-016:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python-cython", "license_gate": "none", "license_source": "LICENSE", "public_payload_sha256": "f5081627aa86c9f9d3d969a2ee3aafc57da27d078b1da0987c6fb2e619a5eee0", "release_id": "016", "repository_url": "https://github.com/macs3-project/MACS", "restricted_license": false, "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_016", "title": "Repair HMMRATAC peak refinement under sparse signal resolution", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-cython-task-016:v0.1.0@sha256:9b8e3efae0b9f9978ac842d43bcb7ac279f98d5a5c8ad91bc06286d55b60116d", "verifier_image_digest": "sha256:9b8e3efae0b9f9978ac842d43bcb7ac279f98d5a5c8ad91bc06286d55b60116d", "verifier_image_id": "sha256:9b8e3efae0b9f9978ac842d43bcb7ac279f98d5a5c8ad91bc06286d55b60116d", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-cython-task-016:v0.1.0"}
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{"base_commit": "", "domain": "gamma-ray-astronomy-dark-matter", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-017:v0.1.0@sha256:8dd3e5daae6c78f1bcf4a9713aa983048d6ed8a25a221792a6c09d5b0b6e8628", "environment_image_digest": "sha256:8dd3e5daae6c78f1bcf4a9713aa983048d6ed8a25a221792a6c09d5b0b6e8628", "environment_image_id": "sha256:8dd3e5daae6c78f1bcf4a9713aa983048d6ed8a25a221792a6c09d5b0b6e8628", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-017:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE.rst", "public_payload_sha256": "476c49a1d6b135cff30022badc617bc976d384dc4fa3470c8255334cfcfc1175", "release_id": "017", "repository_url": "https://github.com/gammapy/gammapy", "restricted_license": false, "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_017", "title": "Repair dark-matter line-of-sight maps in Gammapy", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-017:v0.1.0@sha256:d5e1f280d98ae2142f4a5a88f2203681710ecffa75544f59464f87d1b0de6fda", "verifier_image_digest": "sha256:d5e1f280d98ae2142f4a5a88f2203681710ecffa75544f59464f87d1b0de6fda", "verifier_image_id": "sha256:d5e1f280d98ae2142f4a5a88f2203681710ecffa75544f59464f87d1b0de6fda", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-017:v0.1.0"}
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{"base_commit": "e365079ea71190aaa0dc96d22253d3888c47abf9", "domain": "electronic-structure-nonorthogonal-eigenproblems", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-074:v0.1.0@sha256:717c4de698523729922644dc8f42dbf98071dbe48c25cf1016d425d2ceb0e49f", "environment_image_digest": "sha256:717c4de698523729922644dc8f42dbf98071dbe48c25cf1016d425d2ceb0e49f", "environment_image_id": "sha256:717c4de698523729922644dc8f42dbf98071dbe48c25cf1016d425d2ceb0e49f", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-074:v0.1.0", "gpl_family": true, "image_platform": "linux/amd64", "language": "python", "license_gate": "gpl-family", "license_source": "LICENSE", "public_payload_sha256": "ad672fdf766b9ec695c2a3fc0ef10ff87623c0c0ca31d0dcef02fcc67b8bb9ae", "release_id": "074", "repository_url": "https://github.com/deepmodeling/DeePTB", "restricted_license": true, "schema_version": 1, "source_license": "LGPL-3.0-family", "status": "dockerhub-published", "task_path": "tasks/task_074", "title": "Repair an ill-conditioned overlap band-postprocessing workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-074:v0.1.0@sha256:874067a5199b4db19f575c074b7cd51c1eddf03f7aa13c97810ea2873c917d86", "verifier_image_digest": "sha256:874067a5199b4db19f575c074b7cd51c1eddf03f7aa13c97810ea2873c917d86", "verifier_image_id": "sha256:874067a5199b4db19f575c074b7cd51c1eddf03f7aa13c97810ea2873c917d86", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-074:v0.1.0"}
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| 91 |
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| 92 |
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| 93 |
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