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Gate task 035 government report materials

Browse files
README.md CHANGED
@@ -32,8 +32,8 @@ SWE-bench Science evaluates coding agents on software-engineering tasks drawn fr
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  | Metric | Value |
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  | --- | ---: |
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  | Tasks | 119 |
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- | Default selection | 97 unrestricted-license tasks |
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- | Restricted selection | 22 tasks |
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  | GPL/LGPL/AGPL-family tasks | 18 |
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  | Environment images | 119 Docker Hub images |
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  | Verifier images | 119 Docker Hub images |
@@ -88,7 +88,7 @@ Every materialization writes `selection.json` with the exact task IDs used for t
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  ## Restricted Licenses
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- Twenty-two tasks are excluded from the default selection because they contain GPL/LGPL/AGPL-family code, academic non-commercial sources or materials, or restricted third-party data. Include them only after confirming that your use is permitted:
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  ~~~bash
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  python3 tools/materialize.py \
@@ -96,7 +96,7 @@ python3 tools/materialize.py \
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  --output tasks-selected-all --force
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  ~~~
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- The GPL/LGPL/AGPL-family task IDs are `003, 020, 021, 023, 032, 057, 066, 074, 075, 082, 083, 084, 085, 096, 097, 098, 100, 118`. Tasks `019`, `026`, `101`, and `102` are restricted for other reasons. There is no `--allow-GPL` option. The selection flag controls which task bundles are materialized; it does not replace the upstream license obligations.
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  ## Run An Evaluation
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  | Metric | Value |
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  | --- | ---: |
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  | Tasks | 119 |
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+ | Default selection | 96 unrestricted-license tasks |
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+ | Restricted selection | 23 tasks |
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  | GPL/LGPL/AGPL-family tasks | 18 |
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  | Environment images | 119 Docker Hub images |
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  | Verifier images | 119 Docker Hub images |
 
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  ## Restricted Licenses
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+ Twenty-three tasks are excluded from the default selection because they contain GPL/LGPL/AGPL-family code, academic non-commercial sources or materials, or restricted third-party data. Include them only after confirming that your use is permitted:
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  ~~~bash
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  python3 tools/materialize.py \
 
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  --output tasks-selected-all --force
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  ~~~
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+ The GPL/LGPL/AGPL-family task IDs are `003, 020, 021, 023, 032, 057, 066, 074, 075, 082, 083, 084, 085, 096, 097, 098, 100, 118`. Tasks `019`, `026`, `035`, `043`, `101`, and `102` are restricted for other reasons. There is no `--allow-GPL` option. The selection flag controls which task bundles are materialized; it does not replace the upstream license obligations.
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  ## Run An Evaluation
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data/statistics.md CHANGED
@@ -1,6 +1,6 @@
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  # Generated Release Statistics
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- Canonical rows: **119**; default unrestricted rows: **97**; restricted-license rows: **22**; GPL-family rows: **18**.
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  Environment image references: **119/119**; verifier image references: **119/119**.
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  # Generated Release Statistics
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+ Canonical rows: **119**; default unrestricted rows: **96**; restricted-license rows: **23**; GPL-family rows: **18**.
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  Environment image references: **119/119**; verifier image references: **119/119**.
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data/tasks.csv CHANGED
@@ -33,7 +33,7 @@ task_id,title,domain,language,repository_url,base_commit,source_license,gpl_fami
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  032,Repair an inconsistent peptide energy after topology import,molecular-simulation,python,https://github.com/openmm/openmm,d2f76949b3ccac1139f0a0a0d1459aa47e2f0a98,MIT AND LGPL-family AND BSD-3-Clause,True,True,gpl-family,MIT; MIT AND LGPL-family AND BSD-3-Clause,environment/public/MATERIALS.json,True,True,a43f622287ae0e599204db58fb15d4c22e33975bd9609639356586f1126a89aa,[],,The OpenMM source snapshot includes LGPL-covered CUDA and OpenCL platform components and therefore requires explicit restricted-license opt-in.,docker.io/kevinxulearning/swe-bench-science-environment-python-task-032:v0.1.1@sha256:f7bbb41b0cb019c6785faf01ee02b71efef87ade2d96f78673157090b2b70c11,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-032:v0.1.1@sha256:c75faed022ffcf7321fcfc415227da35e38287acd1304c3cdf6fa487f6b8c2dd,linux/amd64,tasks/task_032,dockerhub-published
34
  033,Repair inconsistent energies across equivalent periodic representations,periodic-electronic-structure,python,https://github.com/pyscf/pyscf,802cd37e9dc6abb52f30d84bb422b6ee15493fc9,Apache-2.0,False,False,none,Apache-2.0,environment/public/MATERIALS.json,False,False,82da89147b9de73d02954a5589901714c78986e8fb1deeae9d8e3c636c92f7be,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-033:v0.1.1@sha256:197e982f57b296e787d46cf34996907450e455aee4d3fab0602f6dc24bff6143,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-033:v0.1.1@sha256:6dc7b560ea513f6160f7c57f10d097acc966df297e37e71f466e132810369295,linux/amd64,tasks/task_033,dockerhub-published
35
  034,Repair an inconsistent stochastic trajectory calculation,stochastic-numerical-analysis,python,https://github.com/patrick-kidger/diffrax,56d78e1acbdc9c1493caef17a34777931430f3bf,Apache-2.0,False,False,none,Apache-2.0; CC-BY-4.0; MIT,environment/public/MATERIALS.json,False,False,f165a9cd5a3804fded776a27a284ba9e6458bd6f0fc281b5de5541181a7f30db,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-034:v0.1.1@sha256:fa45aacfb4bbf402fbd7597ca767d61065cf767a35e9c457f708bb024e46a29f,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-034:v0.1.1@sha256:05bcfc247e7ddf648bb2c176a6a51e0044fe3e262fb1520291c13384074fdaa7,linux/amd64,tasks/task_034,dockerhub-published
36
- 035,Repair an incomplete stiff-kinetics campaign,numerical-analysis-and-chemical-kinetics,python,https://github.com/scipy/scipy,c4e7f1146556f4b038bfbfc0912ac3843e844c55,BSD-3-Clause,False,False,none,BSD-2-Clause; BSD-3-Clause; LicenseRef-US-Government-Publication,environment/public/MATERIALS.json,False,False,c54c5d6dada0288a1df64dca809850668f38c6d88626e2bd0fd89f58331e0d07,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-035:v0.1.1@sha256:9d074595d6ab4385a00875330b4b1fa44153bcfc3e20f4fb7b93005582556bed,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-035:v0.1.1@sha256:3f5829a8aac0f18cc8716f569d96154613a115e082be984153eedf0e81afdc8a,linux/amd64,tasks/task_035,dockerhub-published
37
  036,Repair inconsistent sampling on a spherical curvilinear ocean grid,computational-oceanography-and-spherical-geometry,python,https://github.com/Parcels-code/Parcels,439ea290f9a75c3cbd66d79333fed475f92aeb00,MIT,False,False,none,CC-BY-4.0; MIT,environment/public/MATERIALS.json,False,False,4755047fd73d5c730562078d025169f820967fe96b30cd369100c9c74ead3bf8,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-036:v0.1.1@sha256:bde81a3c141fddd89bb39021eb1ac122021f63e81c99aadef61a1c1e86ac82e4,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-036:v0.1.1@sha256:97009f66b48e65e82d8e706d3e07eadded40d4918020554f7a9886708786dd69,linux/amd64,tasks/task_036,dockerhub-published
38
  037,Repair an inconsistent multiframe MR reconstruction,medical-imaging,python,https://github.com/nipy/nibabel,5d10c5b8bb09576e24e9d316da1019fb909d7d32,MIT AND BSD-3-Clause,False,False,none,MIT; MIT AND BSD-3-Clause,environment/public/MATERIALS.json,False,False,acb0c4de1a255bde515f780d34c7a0585d488b13032ef4bed6e78fab84f60f0b,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-037:v0.1.1@sha256:d56fc142c29e55c2da1bbb2a3da5afda71387fd8dd092742882d7a7311687b71,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-037:v0.1.1@sha256:c796741230bb4ab445d45895f095d69787bd4539b73918856d1ad79488bac7e3,linux/amd64,tasks/task_037,dockerhub-published
39
  038,Repair inconsistent crystal classification across equivalent representations,computational-crystallography-and-materials-symmetry,c,https://github.com/spglib/spglib,,BSD-3-Clause,False,False,none,BSD-3-Clause; CC-BY-4.0; CC0-1.0,environment/public/MATERIALS.json,False,False,cde0e5d6b19a6be1907d83aceadce31d5eabdb8386ce8b7fbfaabc08f8b0ebf2,[],,,docker.io/kevinxulearning/swe-bench-science-environment-c-task-038:v0.1.1@sha256:7a3e4ccf5364e434c5a3d4710e2016df66ef5db3cf063d0249574c59143dd793,docker.io/kevinxulearning/swe-bench-science-verifier-c-task-038:v0.1.1@sha256:4bb7c29ed433773c37de68bad0e425e75710b6709e0beec1b63f0f3691539643,linux/amd64,tasks/task_038,dockerhub-published
 
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  032,Repair an inconsistent peptide energy after topology import,molecular-simulation,python,https://github.com/openmm/openmm,d2f76949b3ccac1139f0a0a0d1459aa47e2f0a98,MIT AND LGPL-family AND BSD-3-Clause,True,True,gpl-family,MIT; MIT AND LGPL-family AND BSD-3-Clause,environment/public/MATERIALS.json,True,True,a43f622287ae0e599204db58fb15d4c22e33975bd9609639356586f1126a89aa,[],,The OpenMM source snapshot includes LGPL-covered CUDA and OpenCL platform components and therefore requires explicit restricted-license opt-in.,docker.io/kevinxulearning/swe-bench-science-environment-python-task-032:v0.1.1@sha256:f7bbb41b0cb019c6785faf01ee02b71efef87ade2d96f78673157090b2b70c11,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-032:v0.1.1@sha256:c75faed022ffcf7321fcfc415227da35e38287acd1304c3cdf6fa487f6b8c2dd,linux/amd64,tasks/task_032,dockerhub-published
34
  033,Repair inconsistent energies across equivalent periodic representations,periodic-electronic-structure,python,https://github.com/pyscf/pyscf,802cd37e9dc6abb52f30d84bb422b6ee15493fc9,Apache-2.0,False,False,none,Apache-2.0,environment/public/MATERIALS.json,False,False,82da89147b9de73d02954a5589901714c78986e8fb1deeae9d8e3c636c92f7be,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-033:v0.1.1@sha256:197e982f57b296e787d46cf34996907450e455aee4d3fab0602f6dc24bff6143,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-033:v0.1.1@sha256:6dc7b560ea513f6160f7c57f10d097acc966df297e37e71f466e132810369295,linux/amd64,tasks/task_033,dockerhub-published
35
  034,Repair an inconsistent stochastic trajectory calculation,stochastic-numerical-analysis,python,https://github.com/patrick-kidger/diffrax,56d78e1acbdc9c1493caef17a34777931430f3bf,Apache-2.0,False,False,none,Apache-2.0; CC-BY-4.0; MIT,environment/public/MATERIALS.json,False,False,f165a9cd5a3804fded776a27a284ba9e6458bd6f0fc281b5de5541181a7f30db,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-034:v0.1.1@sha256:fa45aacfb4bbf402fbd7597ca767d61065cf767a35e9c457f708bb024e46a29f,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-034:v0.1.1@sha256:05bcfc247e7ddf648bb2c176a6a51e0044fe3e262fb1520291c13384074fdaa7,linux/amd64,tasks/task_034,dockerhub-published
36
+ 035,Repair an incomplete stiff-kinetics campaign,numerical-analysis-and-chemical-kinetics,python,https://github.com/scipy/scipy,c4e7f1146556f4b038bfbfc0912ac3843e844c55,BSD-3-Clause,False,True,restricted-materials,BSD-2-Clause; BSD-3-Clause; LicenseRef-US-Government-Publication,environment/public/MATERIALS.json,True,True,32ef8eed974831bd603273c8e83ae05fa07cf917096ee7c44821f74ffbe6b457,[],,"The NASA ODEPACK report is retained for reproducibility, but its public-domain or commercial redistribution status is not represented by an explicit standard license grant; commercial users must opt in after their own review.",docker.io/kevinxulearning/swe-bench-science-environment-python-task-035:v0.1.1@sha256:9d074595d6ab4385a00875330b4b1fa44153bcfc3e20f4fb7b93005582556bed,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-035:v0.1.1@sha256:3f5829a8aac0f18cc8716f569d96154613a115e082be984153eedf0e81afdc8a,linux/amd64,tasks/task_035,dockerhub-published
37
  036,Repair inconsistent sampling on a spherical curvilinear ocean grid,computational-oceanography-and-spherical-geometry,python,https://github.com/Parcels-code/Parcels,439ea290f9a75c3cbd66d79333fed475f92aeb00,MIT,False,False,none,CC-BY-4.0; MIT,environment/public/MATERIALS.json,False,False,4755047fd73d5c730562078d025169f820967fe96b30cd369100c9c74ead3bf8,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-036:v0.1.1@sha256:bde81a3c141fddd89bb39021eb1ac122021f63e81c99aadef61a1c1e86ac82e4,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-036:v0.1.1@sha256:97009f66b48e65e82d8e706d3e07eadded40d4918020554f7a9886708786dd69,linux/amd64,tasks/task_036,dockerhub-published
38
  037,Repair an inconsistent multiframe MR reconstruction,medical-imaging,python,https://github.com/nipy/nibabel,5d10c5b8bb09576e24e9d316da1019fb909d7d32,MIT AND BSD-3-Clause,False,False,none,MIT; MIT AND BSD-3-Clause,environment/public/MATERIALS.json,False,False,acb0c4de1a255bde515f780d34c7a0585d488b13032ef4bed6e78fab84f60f0b,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-037:v0.1.1@sha256:d56fc142c29e55c2da1bbb2a3da5afda71387fd8dd092742882d7a7311687b71,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-037:v0.1.1@sha256:c796741230bb4ab445d45895f095d69787bd4539b73918856d1ad79488bac7e3,linux/amd64,tasks/task_037,dockerhub-published
39
  038,Repair inconsistent crystal classification across equivalent representations,computational-crystallography-and-materials-symmetry,c,https://github.com/spglib/spglib,,BSD-3-Clause,False,False,none,BSD-3-Clause; CC-BY-4.0; CC0-1.0,environment/public/MATERIALS.json,False,False,cde0e5d6b19a6be1907d83aceadce31d5eabdb8386ce8b7fbfaabc08f8b0ebf2,[],,,docker.io/kevinxulearning/swe-bench-science-environment-c-task-038:v0.1.1@sha256:7a3e4ccf5364e434c5a3d4710e2016df66ef5db3cf063d0249574c59143dd793,docker.io/kevinxulearning/swe-bench-science-verifier-c-task-038:v0.1.1@sha256:4bb7c29ed433773c37de68bad0e425e75710b6709e0beec1b63f0f3691539643,linux/amd64,tasks/task_038,dockerhub-published
manifests/tasks.jsonl CHANGED
@@ -32,7 +32,7 @@
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  {"base_commit": "d2f76949b3ccac1139f0a0a0d1459aa47e2f0a98", "domain": "molecular-simulation", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-032:v0.1.1@sha256:f7bbb41b0cb019c6785faf01ee02b71efef87ade2d96f78673157090b2b70c11", "environment_image_digest": "sha256:f7bbb41b0cb019c6785faf01ee02b71efef87ade2d96f78673157090b2b70c11", "environment_image_id": "sha256:f7bbb41b0cb019c6785faf01ee02b71efef87ade2d96f78673157090b2b70c11", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-032:v0.1.1", "gpl_family": true, "image_platform": "linux/amd64", "language": "python", "license_gate": "gpl-family", "license_source": "license.rst", "material_license": "MIT; MIT AND LGPL-family AND BSD-3-Clause", "material_license_source": "environment/public/MATERIALS.json", "material_restricted": true, "materials_gate": true, "materials_manifest_sha256": "a43f622287ae0e599204db58fb15d4c22e33975bd9609639356586f1126a89aa", "public_payload_sha256": "60338d260fc28a955f702fe04a9a76487e8ef6296fea7e885c9f75bf132c8f3b", "release_id": "032", "repository_url": "https://github.com/openmm/openmm", "restricted_license": true, "restricted_reason": "The OpenMM source snapshot includes LGPL-covered CUDA and OpenCL platform components and therefore requires explicit restricted-license opt-in.", "schema_version": 1, "source_license": "MIT AND LGPL-family AND BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_032", "title": "Repair an inconsistent peptide energy after topology import", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-032:v0.1.1@sha256:c75faed022ffcf7321fcfc415227da35e38287acd1304c3cdf6fa487f6b8c2dd", "verifier_image_digest": "sha256:c75faed022ffcf7321fcfc415227da35e38287acd1304c3cdf6fa487f6b8c2dd", "verifier_image_id": "sha256:c75faed022ffcf7321fcfc415227da35e38287acd1304c3cdf6fa487f6b8c2dd", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-032:v0.1.1"}
33
  {"base_commit": "802cd37e9dc6abb52f30d84bb422b6ee15493fc9", "domain": "periodic-electronic-structure", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-033:v0.1.1@sha256:197e982f57b296e787d46cf34996907450e455aee4d3fab0602f6dc24bff6143", "environment_image_digest": "sha256:197e982f57b296e787d46cf34996907450e455aee4d3fab0602f6dc24bff6143", "environment_image_id": "sha256:197e982f57b296e787d46cf34996907450e455aee4d3fab0602f6dc24bff6143", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-033:v0.1.1", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "github-api:LICENSE@802cd37e9dc6abb52f30d84bb422b6ee15493fc9", "material_license": "Apache-2.0", "material_license_source": "environment/public/MATERIALS.json", "material_restricted": false, "materials_gate": false, "materials_manifest_sha256": "82da89147b9de73d02954a5589901714c78986e8fb1deeae9d8e3c636c92f7be", "public_payload_sha256": "070857cd34ba31641aded3b53ae1502eb1406a016c08121b4635b8df80cdd586", "release_id": "033", "repository_url": "https://github.com/pyscf/pyscf", "restricted_license": false, "restricted_reason": "", "schema_version": 1, "source_license": "Apache-2.0", "status": "dockerhub-published", "task_path": "tasks/task_033", "title": "Repair inconsistent energies across equivalent periodic representations", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-033:v0.1.1@sha256:6dc7b560ea513f6160f7c57f10d097acc966df297e37e71f466e132810369295", "verifier_image_digest": "sha256:6dc7b560ea513f6160f7c57f10d097acc966df297e37e71f466e132810369295", "verifier_image_id": "sha256:6dc7b560ea513f6160f7c57f10d097acc966df297e37e71f466e132810369295", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-033:v0.1.1"}
34
  {"base_commit": "56d78e1acbdc9c1493caef17a34777931430f3bf", "domain": "stochastic-numerical-analysis", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-034:v0.1.1@sha256:fa45aacfb4bbf402fbd7597ca767d61065cf767a35e9c457f708bb024e46a29f", "environment_image_digest": "sha256:fa45aacfb4bbf402fbd7597ca767d61065cf767a35e9c457f708bb024e46a29f", "environment_image_id": "sha256:fa45aacfb4bbf402fbd7597ca767d61065cf767a35e9c457f708bb024e46a29f", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-034:v0.1.1", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "manifests/materials.jsonl and retained upstream notices", "material_license": "Apache-2.0; CC-BY-4.0; MIT", "material_license_source": "environment/public/MATERIALS.json", "material_restricted": false, "materials_gate": false, "materials_manifest_sha256": "f165a9cd5a3804fded776a27a284ba9e6458bd6f0fc281b5de5541181a7f30db", "public_payload_sha256": "13493379beb9f833e2a1ce4739d2ca74b89c005aa12e802601a6c58f1203b6c6", "release_id": "034", "repository_url": "https://github.com/patrick-kidger/diffrax", "restricted_license": false, "restricted_reason": "", "schema_version": 1, "source_license": "Apache-2.0", "status": "dockerhub-published", "task_path": "tasks/task_034", "title": "Repair an inconsistent stochastic trajectory calculation", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-034:v0.1.1@sha256:05bcfc247e7ddf648bb2c176a6a51e0044fe3e262fb1520291c13384074fdaa7", "verifier_image_digest": "sha256:05bcfc247e7ddf648bb2c176a6a51e0044fe3e262fb1520291c13384074fdaa7", "verifier_image_id": "sha256:05bcfc247e7ddf648bb2c176a6a51e0044fe3e262fb1520291c13384074fdaa7", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-034:v0.1.1"}
35
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36
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37
  {"base_commit": "5d10c5b8bb09576e24e9d316da1019fb909d7d32", "domain": "medical-imaging", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-037:v0.1.1@sha256:d56fc142c29e55c2da1bbb2a3da5afda71387fd8dd092742882d7a7311687b71", "environment_image_digest": "sha256:d56fc142c29e55c2da1bbb2a3da5afda71387fd8dd092742882d7a7311687b71", "environment_image_id": "sha256:d56fc142c29e55c2da1bbb2a3da5afda71387fd8dd092742882d7a7311687b71", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-037:v0.1.1", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "manifests/materials.jsonl and retained upstream notices", "material_license": "MIT; MIT AND BSD-3-Clause", "material_license_source": "environment/public/MATERIALS.json", "material_restricted": false, "materials_gate": false, "materials_manifest_sha256": "acb0c4de1a255bde515f780d34c7a0585d488b13032ef4bed6e78fab84f60f0b", "public_payload_sha256": "525e11dbf5bfc048c2efde3fd15fe6993ba36cf2dd8a1a1d3afb9c320baab674", "release_id": "037", "repository_url": "https://github.com/nipy/nibabel", "restricted_license": false, "restricted_reason": "", "schema_version": 1, "source_license": "MIT AND BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_037", "title": "Repair an inconsistent multiframe MR reconstruction", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-037:v0.1.1@sha256:c796741230bb4ab445d45895f095d69787bd4539b73918856d1ad79488bac7e3", "verifier_image_digest": "sha256:c796741230bb4ab445d45895f095d69787bd4539b73918856d1ad79488bac7e3", "verifier_image_id": "sha256:c796741230bb4ab445d45895f095d69787bd4539b73918856d1ad79488bac7e3", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-037:v0.1.1"}
38
  {"base_commit": "", "domain": "computational-crystallography-and-materials-symmetry", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-c-task-038:v0.1.1@sha256:7a3e4ccf5364e434c5a3d4710e2016df66ef5db3cf063d0249574c59143dd793", "environment_image_digest": "sha256:7a3e4ccf5364e434c5a3d4710e2016df66ef5db3cf063d0249574c59143dd793", "environment_image_id": "sha256:7a3e4ccf5364e434c5a3d4710e2016df66ef5db3cf063d0249574c59143dd793", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-c-task-038:v0.1.1", "gpl_family": false, "image_platform": "linux/amd64", "language": "c", "license_gate": "none", "license_source": "manifests/materials.jsonl and retained upstream notices", "material_license": "BSD-3-Clause; CC-BY-4.0; CC0-1.0", "material_license_source": "environment/public/MATERIALS.json", "material_restricted": false, "materials_gate": false, "materials_manifest_sha256": "cde0e5d6b19a6be1907d83aceadce31d5eabdb8386ce8b7fbfaabc08f8b0ebf2", "public_payload_sha256": "d770bd89cde0d7ebe7ef628d9f4c5f28fe4267abef25159f14379e03a786ce28", "release_id": "038", "repository_url": "https://github.com/spglib/spglib", "restricted_license": false, "restricted_reason": "", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_038", "title": "Repair inconsistent crystal classification across equivalent representations", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-c-task-038:v0.1.1@sha256:4bb7c29ed433773c37de68bad0e425e75710b6709e0beec1b63f0f3691539643", "verifier_image_digest": "sha256:4bb7c29ed433773c37de68bad0e425e75710b6709e0beec1b63f0f3691539643", "verifier_image_id": "sha256:4bb7c29ed433773c37de68bad0e425e75710b6709e0beec1b63f0f3691539643", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-c-task-038:v0.1.1"}
 
32
  {"base_commit": "d2f76949b3ccac1139f0a0a0d1459aa47e2f0a98", "domain": "molecular-simulation", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-032:v0.1.1@sha256:f7bbb41b0cb019c6785faf01ee02b71efef87ade2d96f78673157090b2b70c11", "environment_image_digest": "sha256:f7bbb41b0cb019c6785faf01ee02b71efef87ade2d96f78673157090b2b70c11", "environment_image_id": "sha256:f7bbb41b0cb019c6785faf01ee02b71efef87ade2d96f78673157090b2b70c11", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-032:v0.1.1", "gpl_family": true, "image_platform": "linux/amd64", "language": "python", "license_gate": "gpl-family", "license_source": "license.rst", "material_license": "MIT; MIT AND LGPL-family AND BSD-3-Clause", "material_license_source": "environment/public/MATERIALS.json", "material_restricted": true, "materials_gate": true, "materials_manifest_sha256": "a43f622287ae0e599204db58fb15d4c22e33975bd9609639356586f1126a89aa", "public_payload_sha256": "60338d260fc28a955f702fe04a9a76487e8ef6296fea7e885c9f75bf132c8f3b", "release_id": "032", "repository_url": "https://github.com/openmm/openmm", "restricted_license": true, "restricted_reason": "The OpenMM source snapshot includes LGPL-covered CUDA and OpenCL platform components and therefore requires explicit restricted-license opt-in.", "schema_version": 1, "source_license": "MIT AND LGPL-family AND BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_032", "title": "Repair an inconsistent peptide energy after topology import", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-032:v0.1.1@sha256:c75faed022ffcf7321fcfc415227da35e38287acd1304c3cdf6fa487f6b8c2dd", "verifier_image_digest": "sha256:c75faed022ffcf7321fcfc415227da35e38287acd1304c3cdf6fa487f6b8c2dd", "verifier_image_id": "sha256:c75faed022ffcf7321fcfc415227da35e38287acd1304c3cdf6fa487f6b8c2dd", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-032:v0.1.1"}
33
  {"base_commit": "802cd37e9dc6abb52f30d84bb422b6ee15493fc9", "domain": "periodic-electronic-structure", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-033:v0.1.1@sha256:197e982f57b296e787d46cf34996907450e455aee4d3fab0602f6dc24bff6143", "environment_image_digest": "sha256:197e982f57b296e787d46cf34996907450e455aee4d3fab0602f6dc24bff6143", "environment_image_id": "sha256:197e982f57b296e787d46cf34996907450e455aee4d3fab0602f6dc24bff6143", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-033:v0.1.1", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "github-api:LICENSE@802cd37e9dc6abb52f30d84bb422b6ee15493fc9", "material_license": "Apache-2.0", "material_license_source": "environment/public/MATERIALS.json", "material_restricted": false, "materials_gate": false, "materials_manifest_sha256": "82da89147b9de73d02954a5589901714c78986e8fb1deeae9d8e3c636c92f7be", "public_payload_sha256": "070857cd34ba31641aded3b53ae1502eb1406a016c08121b4635b8df80cdd586", "release_id": "033", "repository_url": "https://github.com/pyscf/pyscf", "restricted_license": false, "restricted_reason": "", "schema_version": 1, "source_license": "Apache-2.0", "status": "dockerhub-published", "task_path": "tasks/task_033", "title": "Repair inconsistent energies across equivalent periodic representations", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-033:v0.1.1@sha256:6dc7b560ea513f6160f7c57f10d097acc966df297e37e71f466e132810369295", "verifier_image_digest": "sha256:6dc7b560ea513f6160f7c57f10d097acc966df297e37e71f466e132810369295", "verifier_image_id": "sha256:6dc7b560ea513f6160f7c57f10d097acc966df297e37e71f466e132810369295", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-033:v0.1.1"}
34
  {"base_commit": "56d78e1acbdc9c1493caef17a34777931430f3bf", "domain": "stochastic-numerical-analysis", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-034:v0.1.1@sha256:fa45aacfb4bbf402fbd7597ca767d61065cf767a35e9c457f708bb024e46a29f", "environment_image_digest": "sha256:fa45aacfb4bbf402fbd7597ca767d61065cf767a35e9c457f708bb024e46a29f", "environment_image_id": "sha256:fa45aacfb4bbf402fbd7597ca767d61065cf767a35e9c457f708bb024e46a29f", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-034:v0.1.1", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "manifests/materials.jsonl and retained upstream notices", "material_license": "Apache-2.0; CC-BY-4.0; MIT", "material_license_source": "environment/public/MATERIALS.json", "material_restricted": false, "materials_gate": false, "materials_manifest_sha256": "f165a9cd5a3804fded776a27a284ba9e6458bd6f0fc281b5de5541181a7f30db", "public_payload_sha256": "13493379beb9f833e2a1ce4739d2ca74b89c005aa12e802601a6c58f1203b6c6", "release_id": "034", "repository_url": "https://github.com/patrick-kidger/diffrax", "restricted_license": false, "restricted_reason": "", "schema_version": 1, "source_license": "Apache-2.0", "status": "dockerhub-published", "task_path": "tasks/task_034", "title": "Repair an inconsistent stochastic trajectory calculation", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-034:v0.1.1@sha256:05bcfc247e7ddf648bb2c176a6a51e0044fe3e262fb1520291c13384074fdaa7", "verifier_image_digest": "sha256:05bcfc247e7ddf648bb2c176a6a51e0044fe3e262fb1520291c13384074fdaa7", "verifier_image_id": "sha256:05bcfc247e7ddf648bb2c176a6a51e0044fe3e262fb1520291c13384074fdaa7", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-034:v0.1.1"}
35
+ {"base_commit": "c4e7f1146556f4b038bfbfc0912ac3843e844c55", "domain": "numerical-analysis-and-chemical-kinetics", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-035:v0.1.1@sha256:9d074595d6ab4385a00875330b4b1fa44153bcfc3e20f4fb7b93005582556bed", "environment_image_digest": "sha256:9d074595d6ab4385a00875330b4b1fa44153bcfc3e20f4fb7b93005582556bed", "environment_image_id": "sha256:9d074595d6ab4385a00875330b4b1fa44153bcfc3e20f4fb7b93005582556bed", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-035:v0.1.1", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "restricted-materials", "license_source": "manifests/materials.jsonl and retained upstream notices", "material_license": "BSD-2-Clause; BSD-3-Clause; LicenseRef-US-Government-Publication", "material_license_source": "environment/public/MATERIALS.json", "material_restricted": true, "materials_gate": true, "materials_manifest_sha256": "32ef8eed974831bd603273c8e83ae05fa07cf917096ee7c44821f74ffbe6b457", "public_payload_sha256": "59de791822368383ceb7af7bbf1167f13a003e19b06e6d2b5075b0c80f5c5fe7", "release_id": "035", "repository_url": "https://github.com/scipy/scipy", "restricted_license": true, "restricted_reason": "The NASA ODEPACK report is retained for reproducibility, but its public-domain or commercial redistribution status is not represented by an explicit standard license grant; commercial users must opt in after their own review.", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_035", "title": "Repair an incomplete stiff-kinetics campaign", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-035:v0.1.1@sha256:3f5829a8aac0f18cc8716f569d96154613a115e082be984153eedf0e81afdc8a", "verifier_image_digest": "sha256:3f5829a8aac0f18cc8716f569d96154613a115e082be984153eedf0e81afdc8a", "verifier_image_id": "sha256:3f5829a8aac0f18cc8716f569d96154613a115e082be984153eedf0e81afdc8a", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-035:v0.1.1"}
36
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