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Kevin589981 commited on
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1 Parent(s): 7548477

Publish audited SWE-bench Science snapshot

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Files changed (2) hide show
  1. data/tasks.csv +7 -7
  2. manifests/tasks.jsonl +7 -7
data/tasks.csv CHANGED
@@ -37,13 +37,13 @@ task_id,title,domain,language,repository_url,base_commit,source_license,gpl_fami
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
40
- 039,Repair a river-network sediment transport calculation,earth-surface-dynamics-and-river-sediment-transport,python,https://github.com/landlab/landlab,546bc11054cff5e12808c7122b3e8b38f1ef555f,MIT,False,False,none,CC-BY-4.0; MIT,environment/public/MATERIALS.json,False,False,87f8d5c4cb8e737bccacf5718560d2395d37ca9721a6354d211546d7b71d8b3d,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-039:v0.1.0@sha256:3ed83c8573077b62d1c7b2a498bc9dca044d772a6f930ef5c570feccbbb0b43f,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-039:v0.1.0@sha256:f6e72d3a31b0d1321a608fb1f33ddbdd6ca30eb0da862eebce3590b27c4650a4,linux/amd64,tasks/task_039,dockerhub-published
41
- 040,Restore consistent magnetic-dipole electromagnetic predictions,computational-electromagnetics-and-geophysical-forward-modeling,python,https://github.com/simpeg/simpeg,3cc6605c54b0f6062c1a139ece2ecf69cddc829,MIT,False,False,none,MIT,environment/public/MATERIALS.json,False,False,18dd16f868317598b365a29daaf8266ade1e05ce665379fc8b98e18bc568c9e0,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-040:v0.1.0@sha256:a052d87111542518755781c8d49a50de5d7ed6e3f75b2132fc1d8418dba89e85,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-040:v0.1.0@sha256:2f4ad5a63994c9ff62b9ad0b21e24da4a2130a337f20839ff97dccd4016aebd6,linux/amd64,tasks/task_040,dockerhub-published
42
- 041,Repair an inconsistent near-Earth vector conversion,space-physics-coordinate-systems,python,https://github.com/sunpy/sunpy,470d13491dd2c2a9440b3c657af33373ca8d47c1,BSD-2-Clause,False,False,none,BSD-2-Clause; CC-BY-3.0,environment/public/MATERIALS.json,False,False,d730adf2dafa71100b7ecab539721131b1158fb83c7cddee2f0b95f2cff5d6ed,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-041:v0.1.0@sha256:2d7000ea85b0ce1a1df141d46ccce61e3edcd53e86e9d5136a1b26096799aa77,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-041:v0.1.0@sha256:7e3b7b1a0ab181ed010a5bdb2bde149d115188f96418edea77331caf6e20b00a,linux/amd64,tasks/task_041,dockerhub-published
43
- 042,Repair an inconsistent solar-coordinate archive workflow,solar-physics-scientific-data-semantics,python,https://github.com/sunpy/sunpy,c961a1507a83b9dab24ccce12ab92a53b30359d7,BSD-2-Clause,False,False,none,BSD-2-Clause; BSD-3-Clause; CC-BY-3.0,environment/public/MATERIALS.json,False,False,9aa2c24653f08c06f88cbeaaf0537b5fd1bc0c184ced600d54a6cc9e8bd1418c,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-042:v0.1.0@sha256:38b71d095fa30606c636c19aa2145fde1f74993809cff837b6da5e5597895181,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-042:v0.1.0@sha256:133f5154d63c2614e6e754d68ca91bef2a8ea4af1210de147a794c570c06d8f9,linux/amd64,tasks/task_042,dockerhub-published
44
- 043,Repair an inconsistent porous-volume characterization,porous-media-image-analysis,python,https://github.com/PMEAL/porespy,f2360a52bc77ec917aa07ce0cf6128dc7687ea64,MIT,False,False,none,CC-BY-4.0; MIT,environment/public/MATERIALS.json,False,False,bcd5dd8b8c7bb4aeccaa91f8e56d0b0cacb3d51c3fa226e2e95c4ee369bb017a,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-043:v0.1.0@sha256:3e82e859587bdd681272bac9ecb4a415e77fe9f2160afe76a9f0bc641cf7096f,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-043:v0.1.0@sha256:c9a3a93ea8eca723583d471b478202553f011baaaee8411063a1aabec7c1651e,linux/amd64,tasks/task_043,dockerhub-published
45
- 044,Repair inconsistent lithium-ion discharge predictions,electrochemical-battery-modeling,python,https://github.com/pybamm-team/PyBaMM,a42d7a92dd9a2c63240c8ccb6f240e5c3c42de46,BSD-3-Clause,False,False,none,BSD-3-Clause; MIT,environment/public/MATERIALS.json,False,False,e2b4e018508a5d1fc30c97dc278fe89962d811608494c1c9796a01e93b7108c0,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-044:v0.1.0@sha256:513707a2950f87958370d940ca542603b5a4b83443e5c712c916abd1cc37eeb0,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-044:v0.1.0@sha256:61f22d5c7943225471bcdeed86f32470249eaefe57453989c3af1314811f3671,linux/amd64,tasks/task_044,dockerhub-published
46
- 045,Repair inconsistent finite-volume operations on a connected multi-face grid,computational-oceanography-finite-volume-grids,python,https://github.com/xgcm/xgcm,3831b46accbff35f06e4ed3831600d71d5d8da18,MIT,False,False,none,MIT,environment/public/MATERIALS.json,False,False,e1df72bc136f6191328e4b4526e844e2053bba0345f780c1166f356c7f046254,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-045:v0.1.0@sha256:bdf7ecf2141952410df47d69d36d45b662047a720f6ff26ceeef1c33486b3fa0,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-045:v0.1.0@sha256:a3cd9863966518102f06bbf956ddfa7b6578debf5bcf92ccfbe0d1252c3a4b20,linux/amd64,tasks/task_045,dockerhub-published
47
  046,Repair an inconsistent X-ray spectral-timing analysis,astrophysical-xray-spectral-timing,python,https://github.com/StingraySoftware/stingray,79b8f9bb9d122bd0176bb37f48f0fd4926eb9afb,MIT,False,False,none,CC-BY-4.0; MIT,environment/public/MATERIALS.json,False,False,fb5ce52316b37200b1cecae3c497aaf8cc698f7449797aae85102ef4163b32cd,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-046:v0.1.1@sha256:9720d0e8ab177e9c0088d25a097537723e44dbc1cf62761243162f19a75ab3af,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-046:v0.1.1@sha256:272c4cfe4cc4bc671ea369eeb6bf97bdc117cf5332c3f4b1468ab20364c9cb07,linux/amd64,tasks/task_046,dockerhub-published
48
  047,Repair an inconsistent broadband microwave composite,microwave-network-analysis,python,https://github.com/scikit-rf/scikit-rf,a6dae181dbcf76fc738fc7fbc03d7de0a6c22634,BSD-3-Clause,False,False,none,BSD-3-Clause; LicenseRef-NIST-US-Public-Domain-and-Worldwide-Reprint-Permission,environment/public/MATERIALS.json,False,False,dc522d02a3bfe41fdce0651525b3bc51ead8dce3296b2c583084fd64839ffb24,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-047:v0.1.1@sha256:72115b285908d59e5313c5730e7c2f5b9c78c2342064962f66eccdc6514b2fca,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-047:v0.1.1@sha256:6255287669b4711882fdd9c817e94e31ba63f6cbc228a2469763f45b3019144b,linux/amd64,tasks/task_047,dockerhub-published
49
  048,Repair an inconsistent alloy equilibrium assessment,computational-thermodynamics-calphad,python,https://github.com/pycalphad/pycalphad,50389503f126ea6f9e40947c215bd857bcfbd9de,MIT,False,False,none,CC-BY-4.0; MIT,environment/public/MATERIALS.json,False,False,9093b7c978d3f58fdfc199cb70741135938c393e8266a9cbe454f1b72a017d30,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-048:v0.1.1@sha256:7000ceeb77adb2c980d318a30ff17bdbebaaad19ce0bb3f4372a770a02c26346,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-048:v0.1.1@sha256:670f242d783782ed07312104f888007fdfa136952eb46941c065cfb4b5d9eb14,linux/amd64,tasks/task_048,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
40
+ 039,Repair a river-network sediment transport calculation,earth-surface-dynamics-and-river-sediment-transport,python,https://github.com/landlab/landlab,546bc11054cff5e12808c7122b3e8b38f1ef555f,MIT,False,False,none,CC-BY-4.0; MIT,environment/public/MATERIALS.json,False,False,87f8d5c4cb8e737bccacf5718560d2395d37ca9721a6354d211546d7b71d8b3d,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-039:v0.1.1@sha256:8e1428ce9adff057ad094b79fa0a1b7e863d8a0a9925247cf509c0b88b830f15,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-039:v0.1.1@sha256:1533cb3577d15acdc7fd3b1f755f8c4ec80fbb528b7bcb6bcf918c6559f20e4a,linux/amd64,tasks/task_039,dockerhub-published
41
+ 040,Restore consistent magnetic-dipole electromagnetic predictions,computational-electromagnetics-and-geophysical-forward-modeling,python,https://github.com/simpeg/simpeg,3cc6605c54b0f6062c1a139ece2ecf69cddc829,MIT,False,False,none,MIT,environment/public/MATERIALS.json,False,False,18dd16f868317598b365a29daaf8266ade1e05ce665379fc8b98e18bc568c9e0,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-040:v0.1.1@sha256:b08140e893ca136c31d83c2afc20b073a950a985dfeaf77c3443674dea1fb245,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-040:v0.1.1@sha256:65832254b48e4b1777a7d1d07680a2a870de87c697b47ff8d0c27a516f95ad46,linux/amd64,tasks/task_040,dockerhub-published
42
+ 041,Repair an inconsistent near-Earth vector conversion,space-physics-coordinate-systems,python,https://github.com/sunpy/sunpy,470d13491dd2c2a9440b3c657af33373ca8d47c1,BSD-2-Clause,False,False,none,BSD-2-Clause; CC-BY-3.0,environment/public/MATERIALS.json,False,False,d730adf2dafa71100b7ecab539721131b1158fb83c7cddee2f0b95f2cff5d6ed,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-041:v0.1.1@sha256:37b558bb6c922ebc1e934902b60d7d8d4779e0b0bb261c94a7374079ab64b23d,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-041:v0.1.1@sha256:89c3b061bcb5d19a2b28722e4c8a1a5c2435e8641d4cdc2f2ffbd565bc48ff10,linux/amd64,tasks/task_041,dockerhub-published
43
+ 042,Repair an inconsistent solar-coordinate archive workflow,solar-physics-scientific-data-semantics,python,https://github.com/sunpy/sunpy,c961a1507a83b9dab24ccce12ab92a53b30359d7,BSD-2-Clause,False,False,none,BSD-2-Clause; BSD-3-Clause; CC-BY-3.0,environment/public/MATERIALS.json,False,False,9aa2c24653f08c06f88cbeaaf0537b5fd1bc0c184ced600d54a6cc9e8bd1418c,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-042:v0.1.1@sha256:e24e50089bf65cd0f7c88ef150c571446734e71f07990016584bbc39a9c7bebc,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-042:v0.1.1@sha256:2d3c7dba05b8ca04b80900872baa59a5f3bc42d765e80ed58aa917bf0126c512,linux/amd64,tasks/task_042,dockerhub-published
44
+ 043,Repair an inconsistent porous-volume characterization,porous-media-image-analysis,python,https://github.com/PMEAL/porespy,f2360a52bc77ec917aa07ce0cf6128dc7687ea64,MIT,False,False,none,CC-BY-4.0; MIT,environment/public/MATERIALS.json,False,False,bcd5dd8b8c7bb4aeccaa91f8e56d0b0cacb3d51c3fa226e2e95c4ee369bb017a,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-043:v0.1.1@sha256:1207c3ad5330252d5696310459258a043adf59491b41fb27ddc0e0d6fd659e8e,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-043:v0.1.1@sha256:84e2a692b8b83060583de8fca377a153136ba35bd01e40d4ff4e61fe116e2472,linux/amd64,tasks/task_043,dockerhub-published
45
+ 044,Repair inconsistent lithium-ion discharge predictions,electrochemical-battery-modeling,python,https://github.com/pybamm-team/PyBaMM,a42d7a92dd9a2c63240c8ccb6f240e5c3c42de46,BSD-3-Clause,False,False,none,BSD-3-Clause; MIT,environment/public/MATERIALS.json,False,False,e2b4e018508a5d1fc30c97dc278fe89962d811608494c1c9796a01e93b7108c0,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-044:v0.1.1@sha256:83a59d87af5edf2d56822d5bbe902c10a9afdc7afbb11f70903b0de99719335a,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-044:v0.1.1@sha256:71ce7ba80a7fa8e30f073a714ed124130925d8fc6945760d3b28e176bdba2973,linux/amd64,tasks/task_044,dockerhub-published
46
+ 045,Repair inconsistent finite-volume operations on a connected multi-face grid,computational-oceanography-finite-volume-grids,python,https://github.com/xgcm/xgcm,3831b46accbff35f06e4ed3831600d71d5d8da18,MIT,False,False,none,MIT,environment/public/MATERIALS.json,False,False,e1df72bc136f6191328e4b4526e844e2053bba0345f780c1166f356c7f046254,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-045:v0.1.1@sha256:7c1a6d7c324fb06b666139cc162487e81c848774f8392ff857ea3130c8bdf145,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-045:v0.1.1@sha256:8f1017124bd8c6ff303864a9f681042f38a68c6026620b1ddc187bfba8555525,linux/amd64,tasks/task_045,dockerhub-published
47
  046,Repair an inconsistent X-ray spectral-timing analysis,astrophysical-xray-spectral-timing,python,https://github.com/StingraySoftware/stingray,79b8f9bb9d122bd0176bb37f48f0fd4926eb9afb,MIT,False,False,none,CC-BY-4.0; MIT,environment/public/MATERIALS.json,False,False,fb5ce52316b37200b1cecae3c497aaf8cc698f7449797aae85102ef4163b32cd,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-046:v0.1.1@sha256:9720d0e8ab177e9c0088d25a097537723e44dbc1cf62761243162f19a75ab3af,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-046:v0.1.1@sha256:272c4cfe4cc4bc671ea369eeb6bf97bdc117cf5332c3f4b1468ab20364c9cb07,linux/amd64,tasks/task_046,dockerhub-published
48
  047,Repair an inconsistent broadband microwave composite,microwave-network-analysis,python,https://github.com/scikit-rf/scikit-rf,a6dae181dbcf76fc738fc7fbc03d7de0a6c22634,BSD-3-Clause,False,False,none,BSD-3-Clause; LicenseRef-NIST-US-Public-Domain-and-Worldwide-Reprint-Permission,environment/public/MATERIALS.json,False,False,dc522d02a3bfe41fdce0651525b3bc51ead8dce3296b2c583084fd64839ffb24,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-047:v0.1.1@sha256:72115b285908d59e5313c5730e7c2f5b9c78c2342064962f66eccdc6514b2fca,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-047:v0.1.1@sha256:6255287669b4711882fdd9c817e94e31ba63f6cbc228a2469763f45b3019144b,linux/amd64,tasks/task_047,dockerhub-published
49
  048,Repair an inconsistent alloy equilibrium assessment,computational-thermodynamics-calphad,python,https://github.com/pycalphad/pycalphad,50389503f126ea6f9e40947c215bd857bcfbd9de,MIT,False,False,none,CC-BY-4.0; MIT,environment/public/MATERIALS.json,False,False,9093b7c978d3f58fdfc199cb70741135938c393e8266a9cbe454f1b72a017d30,[],,,docker.io/kevinxulearning/swe-bench-science-environment-python-task-048:v0.1.1@sha256:7000ceeb77adb2c980d318a30ff17bdbebaaad19ce0bb3f4372a770a02c26346,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-048:v0.1.1@sha256:670f242d783782ed07312104f888007fdfa136952eb46941c065cfb4b5d9eb14,linux/amd64,tasks/task_048,dockerhub-published
manifests/tasks.jsonl CHANGED
@@ -36,13 +36,13 @@
36
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37
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38
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45
- {"base_commit": "3831b46accbff35f06e4ed3831600d71d5d8da18", "domain": "computational-oceanography-finite-volume-grids", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-045:v0.1.0@sha256:bdf7ecf2141952410df47d69d36d45b662047a720f6ff26ceeef1c33486b3fa0", "environment_image_digest": "sha256:bdf7ecf2141952410df47d69d36d45b662047a720f6ff26ceeef1c33486b3fa0", "environment_image_id": "sha256:bdf7ecf2141952410df47d69d36d45b662047a720f6ff26ceeef1c33486b3fa0", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-045:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE", "material_license": "MIT", "material_license_source": "environment/public/MATERIALS.json", "material_restricted": false, "materials_gate": false, "materials_manifest_sha256": "e1df72bc136f6191328e4b4526e844e2053bba0345f780c1166f356c7f046254", "public_payload_sha256": "409b1fdef4d7b646748ecf16b5afcca323619fd843d0c33a8b45373c864bc325", "release_id": "045", "repository_url": "https://github.com/xgcm/xgcm", "restricted_license": false, "restricted_reason": "", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_045", "title": "Repair inconsistent finite-volume operations on a connected multi-face grid", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-045:v0.1.0@sha256:a3cd9863966518102f06bbf956ddfa7b6578debf5bcf92ccfbe0d1252c3a4b20", "verifier_image_digest": "sha256:a3cd9863966518102f06bbf956ddfa7b6578debf5bcf92ccfbe0d1252c3a4b20", "verifier_image_id": "sha256:a3cd9863966518102f06bbf956ddfa7b6578debf5bcf92ccfbe0d1252c3a4b20", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-045:v0.1.0"}
46
  {"base_commit": "79b8f9bb9d122bd0176bb37f48f0fd4926eb9afb", "domain": "astrophysical-xray-spectral-timing", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-046:v0.1.1@sha256:9720d0e8ab177e9c0088d25a097537723e44dbc1cf62761243162f19a75ab3af", "environment_image_digest": "sha256:9720d0e8ab177e9c0088d25a097537723e44dbc1cf62761243162f19a75ab3af", "environment_image_id": "sha256:9720d0e8ab177e9c0088d25a097537723e44dbc1cf62761243162f19a75ab3af", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-046:v0.1.1", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE.rst", "material_license": "CC-BY-4.0; MIT", "material_license_source": "environment/public/MATERIALS.json", "material_restricted": false, "materials_gate": false, "materials_manifest_sha256": "fb5ce52316b37200b1cecae3c497aaf8cc698f7449797aae85102ef4163b32cd", "public_payload_sha256": "f2ef4efa4831e06d2562ca991fefa2565f59ae46f0a01ebf3023222dd86e65a6", "release_id": "046", "repository_url": "https://github.com/StingraySoftware/stingray", "restricted_license": false, "restricted_reason": "", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_046", "title": "Repair an inconsistent X-ray spectral-timing analysis", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-046:v0.1.1@sha256:272c4cfe4cc4bc671ea369eeb6bf97bdc117cf5332c3f4b1468ab20364c9cb07", "verifier_image_digest": "sha256:272c4cfe4cc4bc671ea369eeb6bf97bdc117cf5332c3f4b1468ab20364c9cb07", "verifier_image_id": "sha256:272c4cfe4cc4bc671ea369eeb6bf97bdc117cf5332c3f4b1468ab20364c9cb07", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-046:v0.1.1"}
47
  {"base_commit": "a6dae181dbcf76fc738fc7fbc03d7de0a6c22634", "domain": "microwave-network-analysis", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-047:v0.1.1@sha256:72115b285908d59e5313c5730e7c2f5b9c78c2342064962f66eccdc6514b2fca", "environment_image_digest": "sha256:72115b285908d59e5313c5730e7c2f5b9c78c2342064962f66eccdc6514b2fca", "environment_image_id": "sha256:72115b285908d59e5313c5730e7c2f5b9c78c2342064962f66eccdc6514b2fca", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-047:v0.1.1", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE.txt", "material_license": "BSD-3-Clause; LicenseRef-NIST-US-Public-Domain-and-Worldwide-Reprint-Permission", "material_license_source": "environment/public/MATERIALS.json", "material_restricted": false, "materials_gate": false, "materials_manifest_sha256": "dc522d02a3bfe41fdce0651525b3bc51ead8dce3296b2c583084fd64839ffb24", "public_payload_sha256": "e82919086e808921565f7d30639962652952147ee8a748c5f215dc87291f2da9", "release_id": "047", "repository_url": "https://github.com/scikit-rf/scikit-rf", "restricted_license": false, "restricted_reason": "", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_047", "title": "Repair an inconsistent broadband microwave composite", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-047:v0.1.1@sha256:6255287669b4711882fdd9c817e94e31ba63f6cbc228a2469763f45b3019144b", "verifier_image_digest": "sha256:6255287669b4711882fdd9c817e94e31ba63f6cbc228a2469763f45b3019144b", "verifier_image_id": "sha256:6255287669b4711882fdd9c817e94e31ba63f6cbc228a2469763f45b3019144b", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-047:v0.1.1"}
48
  {"base_commit": "50389503f126ea6f9e40947c215bd857bcfbd9de", "domain": "computational-thermodynamics-calphad", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-048:v0.1.1@sha256:7000ceeb77adb2c980d318a30ff17bdbebaaad19ce0bb3f4372a770a02c26346", "environment_image_digest": "sha256:7000ceeb77adb2c980d318a30ff17bdbebaaad19ce0bb3f4372a770a02c26346", "environment_image_id": "sha256:7000ceeb77adb2c980d318a30ff17bdbebaaad19ce0bb3f4372a770a02c26346", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-048:v0.1.1", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE.txt", "material_license": "CC-BY-4.0; MIT", "material_license_source": "environment/public/MATERIALS.json", "material_restricted": false, "materials_gate": false, "materials_manifest_sha256": "9093b7c978d3f58fdfc199cb70741135938c393e8266a9cbe454f1b72a017d30", "public_payload_sha256": "976927397d08cf492ca124439053b1da678e6c7a261c4074ad6f7622069d194c", "release_id": "048", "repository_url": "https://github.com/pycalphad/pycalphad", "restricted_license": false, "restricted_reason": "", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_048", "title": "Repair an inconsistent alloy equilibrium assessment", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-048:v0.1.1@sha256:670f242d783782ed07312104f888007fdfa136952eb46941c065cfb4b5d9eb14", "verifier_image_digest": "sha256:670f242d783782ed07312104f888007fdfa136952eb46941c065cfb4b5d9eb14", "verifier_image_id": "sha256:670f242d783782ed07312104f888007fdfa136952eb46941c065cfb4b5d9eb14", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-048:v0.1.1"}
 
36
  {"base_commit": "439ea290f9a75c3cbd66d79333fed475f92aeb00", "domain": "computational-oceanography-and-spherical-geometry", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-036:v0.1.1@sha256:bde81a3c141fddd89bb39021eb1ac122021f63e81c99aadef61a1c1e86ac82e4", "environment_image_digest": "sha256:bde81a3c141fddd89bb39021eb1ac122021f63e81c99aadef61a1c1e86ac82e4", "environment_image_id": "sha256:bde81a3c141fddd89bb39021eb1ac122021f63e81c99aadef61a1c1e86ac82e4", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-036: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": "CC-BY-4.0; MIT", "material_license_source": "environment/public/MATERIALS.json", "material_restricted": false, "materials_gate": false, "materials_manifest_sha256": "4755047fd73d5c730562078d025169f820967fe96b30cd369100c9c74ead3bf8", "public_payload_sha256": "269b06c6266cd7ec7845139ea025286343c4f9fbe7b3116be37a204cdacad1c4", "release_id": "036", "repository_url": "https://github.com/Parcels-code/Parcels", "restricted_license": false, "restricted_reason": "", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_036", "title": "Repair inconsistent sampling on a spherical curvilinear ocean grid", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-036:v0.1.1@sha256:97009f66b48e65e82d8e706d3e07eadded40d4918020554f7a9886708786dd69", "verifier_image_digest": "sha256:97009f66b48e65e82d8e706d3e07eadded40d4918020554f7a9886708786dd69", "verifier_image_id": "sha256:97009f66b48e65e82d8e706d3e07eadded40d4918020554f7a9886708786dd69", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-036:v0.1.1"}
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"}
39
+ {"base_commit": "546bc11054cff5e12808c7122b3e8b38f1ef555f", "domain": "earth-surface-dynamics-and-river-sediment-transport", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-039:v0.1.1@sha256:8e1428ce9adff057ad094b79fa0a1b7e863d8a0a9925247cf509c0b88b830f15", "environment_image_digest": "sha256:8e1428ce9adff057ad094b79fa0a1b7e863d8a0a9925247cf509c0b88b830f15", "environment_image_id": "sha256:8e1428ce9adff057ad094b79fa0a1b7e863d8a0a9925247cf509c0b88b830f15", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-039: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": "CC-BY-4.0; MIT", "material_license_source": "environment/public/MATERIALS.json", "material_restricted": false, "materials_gate": false, "materials_manifest_sha256": "87f8d5c4cb8e737bccacf5718560d2395d37ca9721a6354d211546d7b71d8b3d", "public_payload_sha256": "fa7b5edfc79afde5d113788e3d4eea5c80bb684cd131834ba61c477cdeef2539", "release_id": "039", "repository_url": "https://github.com/landlab/landlab", "restricted_license": false, "restricted_reason": "", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_039", "title": "Repair a river-network sediment transport calculation", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-039:v0.1.1@sha256:1533cb3577d15acdc7fd3b1f755f8c4ec80fbb528b7bcb6bcf918c6559f20e4a", "verifier_image_digest": "sha256:1533cb3577d15acdc7fd3b1f755f8c4ec80fbb528b7bcb6bcf918c6559f20e4a", "verifier_image_id": "sha256:1533cb3577d15acdc7fd3b1f755f8c4ec80fbb528b7bcb6bcf918c6559f20e4a", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-039:v0.1.1"}
40
+ {"base_commit": "3cc6605c54b0f6062c1a139ece2ecf69cddc829", "domain": "computational-electromagnetics-and-geophysical-forward-modeling", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-040:v0.1.1@sha256:b08140e893ca136c31d83c2afc20b073a950a985dfeaf77c3443674dea1fb245", "environment_image_digest": "sha256:b08140e893ca136c31d83c2afc20b073a950a985dfeaf77c3443674dea1fb245", "environment_image_id": "sha256:b08140e893ca136c31d83c2afc20b073a950a985dfeaf77c3443674dea1fb245", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-040: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", "material_license_source": "environment/public/MATERIALS.json", "material_restricted": false, "materials_gate": false, "materials_manifest_sha256": "18dd16f868317598b365a29daaf8266ade1e05ce665379fc8b98e18bc568c9e0", "public_payload_sha256": "0dda4607fc677d002313ced33a5bf17c4721716fe9e640b9a713ebfa655ca4a6", "release_id": "040", "repository_url": "https://github.com/simpeg/simpeg", "restricted_license": false, "restricted_reason": "", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_040", "title": "Restore consistent magnetic-dipole electromagnetic predictions", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-040:v0.1.1@sha256:65832254b48e4b1777a7d1d07680a2a870de87c697b47ff8d0c27a516f95ad46", "verifier_image_digest": "sha256:65832254b48e4b1777a7d1d07680a2a870de87c697b47ff8d0c27a516f95ad46", "verifier_image_id": "sha256:65832254b48e4b1777a7d1d07680a2a870de87c697b47ff8d0c27a516f95ad46", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-040:v0.1.1"}
41
+ {"base_commit": "470d13491dd2c2a9440b3c657af33373ca8d47c1", "domain": "space-physics-coordinate-systems", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-041:v0.1.1@sha256:37b558bb6c922ebc1e934902b60d7d8d4779e0b0bb261c94a7374079ab64b23d", "environment_image_digest": "sha256:37b558bb6c922ebc1e934902b60d7d8d4779e0b0bb261c94a7374079ab64b23d", "environment_image_id": "sha256:37b558bb6c922ebc1e934902b60d7d8d4779e0b0bb261c94a7374079ab64b23d", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-041: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": "BSD-2-Clause; CC-BY-3.0", "material_license_source": "environment/public/MATERIALS.json", "material_restricted": false, "materials_gate": false, "materials_manifest_sha256": "d730adf2dafa71100b7ecab539721131b1158fb83c7cddee2f0b95f2cff5d6ed", "public_payload_sha256": "beb96a14326679e2ff694d6cbd7af3867734b6d00d83609c1ab40cbc77c9de48", "release_id": "041", "repository_url": "https://github.com/sunpy/sunpy", "restricted_license": false, "restricted_reason": "", "schema_version": 1, "source_license": "BSD-2-Clause", "status": "dockerhub-published", "task_path": "tasks/task_041", "title": "Repair an inconsistent near-Earth vector conversion", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-041:v0.1.1@sha256:89c3b061bcb5d19a2b28722e4c8a1a5c2435e8641d4cdc2f2ffbd565bc48ff10", "verifier_image_digest": "sha256:89c3b061bcb5d19a2b28722e4c8a1a5c2435e8641d4cdc2f2ffbd565bc48ff10", "verifier_image_id": "sha256:89c3b061bcb5d19a2b28722e4c8a1a5c2435e8641d4cdc2f2ffbd565bc48ff10", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-041:v0.1.1"}
42
+ {"base_commit": "c961a1507a83b9dab24ccce12ab92a53b30359d7", "domain": "solar-physics-scientific-data-semantics", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-042:v0.1.1@sha256:e24e50089bf65cd0f7c88ef150c571446734e71f07990016584bbc39a9c7bebc", "environment_image_digest": "sha256:e24e50089bf65cd0f7c88ef150c571446734e71f07990016584bbc39a9c7bebc", "environment_image_id": "sha256:e24e50089bf65cd0f7c88ef150c571446734e71f07990016584bbc39a9c7bebc", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-042: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": "BSD-2-Clause; BSD-3-Clause; CC-BY-3.0", "material_license_source": "environment/public/MATERIALS.json", "material_restricted": false, "materials_gate": false, "materials_manifest_sha256": "9aa2c24653f08c06f88cbeaaf0537b5fd1bc0c184ced600d54a6cc9e8bd1418c", "public_payload_sha256": "3a136f5021626770b12d3bee550b08805195dffbfe5dd391b107f97bb61adcca", "release_id": "042", "repository_url": "https://github.com/sunpy/sunpy", "restricted_license": false, "restricted_reason": "", "schema_version": 1, "source_license": "BSD-2-Clause", "status": "dockerhub-published", "task_path": "tasks/task_042", "title": "Repair an inconsistent solar-coordinate archive workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-042:v0.1.1@sha256:2d3c7dba05b8ca04b80900872baa59a5f3bc42d765e80ed58aa917bf0126c512", "verifier_image_digest": "sha256:2d3c7dba05b8ca04b80900872baa59a5f3bc42d765e80ed58aa917bf0126c512", "verifier_image_id": "sha256:2d3c7dba05b8ca04b80900872baa59a5f3bc42d765e80ed58aa917bf0126c512", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-042:v0.1.1"}
43
+ {"base_commit": "f2360a52bc77ec917aa07ce0cf6128dc7687ea64", "domain": "porous-media-image-analysis", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-043:v0.1.1@sha256:1207c3ad5330252d5696310459258a043adf59491b41fb27ddc0e0d6fd659e8e", "environment_image_digest": "sha256:1207c3ad5330252d5696310459258a043adf59491b41fb27ddc0e0d6fd659e8e", "environment_image_id": "sha256:1207c3ad5330252d5696310459258a043adf59491b41fb27ddc0e0d6fd659e8e", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-043: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": "CC-BY-4.0; MIT", "material_license_source": "environment/public/MATERIALS.json", "material_restricted": false, "materials_gate": false, "materials_manifest_sha256": "bcd5dd8b8c7bb4aeccaa91f8e56d0b0cacb3d51c3fa226e2e95c4ee369bb017a", "public_payload_sha256": "30e2dc25b63a8bffbdcfbe59c9ddc617a30478957a7eba9f4b0ff624dfc64bd1", "release_id": "043", "repository_url": "https://github.com/PMEAL/porespy", "restricted_license": false, "restricted_reason": "", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_043", "title": "Repair an inconsistent porous-volume characterization", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-043:v0.1.1@sha256:84e2a692b8b83060583de8fca377a153136ba35bd01e40d4ff4e61fe116e2472", "verifier_image_digest": "sha256:84e2a692b8b83060583de8fca377a153136ba35bd01e40d4ff4e61fe116e2472", "verifier_image_id": "sha256:84e2a692b8b83060583de8fca377a153136ba35bd01e40d4ff4e61fe116e2472", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-043:v0.1.1"}
44
+ {"base_commit": "a42d7a92dd9a2c63240c8ccb6f240e5c3c42de46", "domain": "electrochemical-battery-modeling", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-044:v0.1.1@sha256:83a59d87af5edf2d56822d5bbe902c10a9afdc7afbb11f70903b0de99719335a", "environment_image_digest": "sha256:83a59d87af5edf2d56822d5bbe902c10a9afdc7afbb11f70903b0de99719335a", "environment_image_id": "sha256:83a59d87af5edf2d56822d5bbe902c10a9afdc7afbb11f70903b0de99719335a", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-044: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": "BSD-3-Clause; MIT", "material_license_source": "environment/public/MATERIALS.json", "material_restricted": false, "materials_gate": false, "materials_manifest_sha256": "e2b4e018508a5d1fc30c97dc278fe89962d811608494c1c9796a01e93b7108c0", "public_payload_sha256": "04feef6107c02cd8411cc3c572cc7920d0d6f393fccaca8db4e514c470098d4a", "release_id": "044", "repository_url": "https://github.com/pybamm-team/PyBaMM", "restricted_license": false, "restricted_reason": "", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_044", "title": "Repair inconsistent lithium-ion discharge predictions", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-044:v0.1.1@sha256:71ce7ba80a7fa8e30f073a714ed124130925d8fc6945760d3b28e176bdba2973", "verifier_image_digest": "sha256:71ce7ba80a7fa8e30f073a714ed124130925d8fc6945760d3b28e176bdba2973", "verifier_image_id": "sha256:71ce7ba80a7fa8e30f073a714ed124130925d8fc6945760d3b28e176bdba2973", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-044:v0.1.1"}
45
+ {"base_commit": "3831b46accbff35f06e4ed3831600d71d5d8da18", "domain": "computational-oceanography-finite-volume-grids", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-045:v0.1.1@sha256:7c1a6d7c324fb06b666139cc162487e81c848774f8392ff857ea3130c8bdf145", "environment_image_digest": "sha256:7c1a6d7c324fb06b666139cc162487e81c848774f8392ff857ea3130c8bdf145", "environment_image_id": "sha256:7c1a6d7c324fb06b666139cc162487e81c848774f8392ff857ea3130c8bdf145", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-045: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", "material_license_source": "environment/public/MATERIALS.json", "material_restricted": false, "materials_gate": false, "materials_manifest_sha256": "e1df72bc136f6191328e4b4526e844e2053bba0345f780c1166f356c7f046254", "public_payload_sha256": "409b1fdef4d7b646748ecf16b5afcca323619fd843d0c33a8b45373c864bc325", "release_id": "045", "repository_url": "https://github.com/xgcm/xgcm", "restricted_license": false, "restricted_reason": "", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_045", "title": "Repair inconsistent finite-volume operations on a connected multi-face grid", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-045:v0.1.1@sha256:8f1017124bd8c6ff303864a9f681042f38a68c6026620b1ddc187bfba8555525", "verifier_image_digest": "sha256:8f1017124bd8c6ff303864a9f681042f38a68c6026620b1ddc187bfba8555525", "verifier_image_id": "sha256:8f1017124bd8c6ff303864a9f681042f38a68c6026620b1ddc187bfba8555525", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-045:v0.1.1"}
46
  {"base_commit": "79b8f9bb9d122bd0176bb37f48f0fd4926eb9afb", "domain": "astrophysical-xray-spectral-timing", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-046:v0.1.1@sha256:9720d0e8ab177e9c0088d25a097537723e44dbc1cf62761243162f19a75ab3af", "environment_image_digest": "sha256:9720d0e8ab177e9c0088d25a097537723e44dbc1cf62761243162f19a75ab3af", "environment_image_id": "sha256:9720d0e8ab177e9c0088d25a097537723e44dbc1cf62761243162f19a75ab3af", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-046:v0.1.1", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE.rst", "material_license": "CC-BY-4.0; MIT", "material_license_source": "environment/public/MATERIALS.json", "material_restricted": false, "materials_gate": false, "materials_manifest_sha256": "fb5ce52316b37200b1cecae3c497aaf8cc698f7449797aae85102ef4163b32cd", "public_payload_sha256": "f2ef4efa4831e06d2562ca991fefa2565f59ae46f0a01ebf3023222dd86e65a6", "release_id": "046", "repository_url": "https://github.com/StingraySoftware/stingray", "restricted_license": false, "restricted_reason": "", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_046", "title": "Repair an inconsistent X-ray spectral-timing analysis", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-046:v0.1.1@sha256:272c4cfe4cc4bc671ea369eeb6bf97bdc117cf5332c3f4b1468ab20364c9cb07", "verifier_image_digest": "sha256:272c4cfe4cc4bc671ea369eeb6bf97bdc117cf5332c3f4b1468ab20364c9cb07", "verifier_image_id": "sha256:272c4cfe4cc4bc671ea369eeb6bf97bdc117cf5332c3f4b1468ab20364c9cb07", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-046:v0.1.1"}
47
  {"base_commit": "a6dae181dbcf76fc738fc7fbc03d7de0a6c22634", "domain": "microwave-network-analysis", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-047:v0.1.1@sha256:72115b285908d59e5313c5730e7c2f5b9c78c2342064962f66eccdc6514b2fca", "environment_image_digest": "sha256:72115b285908d59e5313c5730e7c2f5b9c78c2342064962f66eccdc6514b2fca", "environment_image_id": "sha256:72115b285908d59e5313c5730e7c2f5b9c78c2342064962f66eccdc6514b2fca", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-047:v0.1.1", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE.txt", "material_license": "BSD-3-Clause; LicenseRef-NIST-US-Public-Domain-and-Worldwide-Reprint-Permission", "material_license_source": "environment/public/MATERIALS.json", "material_restricted": false, "materials_gate": false, "materials_manifest_sha256": "dc522d02a3bfe41fdce0651525b3bc51ead8dce3296b2c583084fd64839ffb24", "public_payload_sha256": "e82919086e808921565f7d30639962652952147ee8a748c5f215dc87291f2da9", "release_id": "047", "repository_url": "https://github.com/scikit-rf/scikit-rf", "restricted_license": false, "restricted_reason": "", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_047", "title": "Repair an inconsistent broadband microwave composite", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-047:v0.1.1@sha256:6255287669b4711882fdd9c817e94e31ba63f6cbc228a2469763f45b3019144b", "verifier_image_digest": "sha256:6255287669b4711882fdd9c817e94e31ba63f6cbc228a2469763f45b3019144b", "verifier_image_id": "sha256:6255287669b4711882fdd9c817e94e31ba63f6cbc228a2469763f45b3019144b", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-047:v0.1.1"}
48
  {"base_commit": "50389503f126ea6f9e40947c215bd857bcfbd9de", "domain": "computational-thermodynamics-calphad", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-048:v0.1.1@sha256:7000ceeb77adb2c980d318a30ff17bdbebaaad19ce0bb3f4372a770a02c26346", "environment_image_digest": "sha256:7000ceeb77adb2c980d318a30ff17bdbebaaad19ce0bb3f4372a770a02c26346", "environment_image_id": "sha256:7000ceeb77adb2c980d318a30ff17bdbebaaad19ce0bb3f4372a770a02c26346", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-048:v0.1.1", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE.txt", "material_license": "CC-BY-4.0; MIT", "material_license_source": "environment/public/MATERIALS.json", "material_restricted": false, "materials_gate": false, "materials_manifest_sha256": "9093b7c978d3f58fdfc199cb70741135938c393e8266a9cbe454f1b72a017d30", "public_payload_sha256": "976927397d08cf492ca124439053b1da678e6c7a261c4074ad6f7622069d194c", "release_id": "048", "repository_url": "https://github.com/pycalphad/pycalphad", "restricted_license": false, "restricted_reason": "", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_048", "title": "Repair an inconsistent alloy equilibrium assessment", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-048:v0.1.1@sha256:670f242d783782ed07312104f888007fdfa136952eb46941c065cfb4b5d9eb14", "verifier_image_digest": "sha256:670f242d783782ed07312104f888007fdfa136952eb46941c065cfb4b5d9eb14", "verifier_image_id": "sha256:670f242d783782ed07312104f888007fdfa136952eb46941c065cfb4b5d9eb14", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-048:v0.1.1"}