Kevin589981 commited on
Commit
a319eb2
·
verified ·
1 Parent(s): aa1a6c9

Publish licensing audit and Docker Hub digests for tasks 077-090

Browse files
Files changed (5) hide show
  1. NOTICE.md +40 -0
  2. README.md +5 -3
  3. data/statistics.md +2 -3
  4. data/tasks.csv +0 -0
  5. manifests/tasks.jsonl +13 -13
NOTICE.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # SWE-bench Science Notices
2
+
3
+ The root `LICENSE` applies to the project-owned release tooling and documentation
4
+ in this repository, unless a file states otherwise.
5
+
6
+ Task metadata, task instructions, upstream source snapshots, dependencies, and
7
+ Docker image contents may be derived from third-party projects. They remain under
8
+ their original licenses and are not relicensed by the root MIT license. The
9
+ canonical per-task license, provenance URL, and license gate are recorded in
10
+ `huggingface/data/tasks.csv` and each task metadata file.
11
+
12
+ The release boundary intentionally excludes complete source snapshots, private
13
+ tests, graders, reference solutions, model patches, credentials, and run logs
14
+ from GitHub and the Hugging Face thin snapshot. Full task source is used only by
15
+ the local build staging workflow and by the corresponding Docker image build.
16
+
17
+ For GPL/LGPL/AGPL-family and academic non-commercial task images, the image
18
+ build must preserve the upstream license and notice files. The
19
+ `--allow-restricted-licenses` option selects those tasks for materialization; it
20
+ is not a substitute for the applicable license obligations.
21
+
22
+ ## Task-Specific Material Provenance
23
+
24
+ Tasks 076-090 do not redistribute article or supporting-information PDFs. The
25
+ paper references in their public notes are citations, not bundled copies.
26
+
27
+ - Task 084 includes selected ABACUS relaxation test fixtures from
28
+ `deepmodeling/dpdata`. The source commits and reorganization note are recorded
29
+ in `fixtures/PROVENANCE.md` inside the environment image; the files remain
30
+ LGPL-3.0-or-later.
31
+ - Task 085 includes 16 C/H/N/O files from the official MIO 1-1 v1.1.0 parameter
32
+ release. They are byte-identical to the release files and remain CC BY-SA
33
+ 4.0; the full license and attribution are bundled with them.
34
+ - Task 089 uses a benchmark-authored synthetic ORCA-style text fixture. No ORCA
35
+ output, manual content, publication data, or upstream discussion values are
36
+ redistributed by that fixture.
37
+
38
+ Task 083 excludes the unrelated upstream methane tutorial that cited a book
39
+ chapter and linked an externally hosted figure. It is not needed to build or
40
+ evaluate the task.
README.md CHANGED
@@ -185,9 +185,11 @@ candidate fails.
185
 
186
  `selection.json` records the exact task ids. Each row in `data/tasks.csv` records
187
  the upstream repository, base commit, implementation language, source license,
188
- environment digest, and verifier digest. The project tools and metadata follow
189
- the release repository's MIT terms; task source and fixtures retain their
190
- upstream licenses, as documented in `NOTICE.md` in the GitHub release repository.
 
 
191
 
192
  The dataset is independent of GitHub at runtime. After this snapshot is
193
  downloaded, task materialization and evaluation use the local bundle plus Docker
 
185
 
186
  `selection.json` records the exact task ids. Each row in `data/tasks.csv` records
187
  the upstream repository, base commit, implementation language, source license,
188
+ material licenses and provenance, environment digest, and verifier digest. The
189
+ project tools and metadata follow the release repository's MIT terms; task
190
+ source and fixtures retain their upstream licenses. Dataset-level notices are
191
+ in [`NOTICE.md`](NOTICE.md), and affected thin task bundles also include
192
+ `fixtures/PROVENANCE.md`.
193
 
194
  The dataset is independent of GitHub at runtime. After this snapshot is
195
  downloaded, task materialization and evaluation use the local bundle plus Docker
data/statistics.md CHANGED
@@ -135,7 +135,7 @@ Environment image references: **119/119**; verifier image references: **119/119*
135
 
136
  | Value | Count |
137
  | --- | ---: |
138
- | `AGPL-family` | 4 |
139
  | `Academic-NonCommercial` | 1 |
140
  | `Apache-2.0` | 13 |
141
  | `BSD-2-Clause` | 2 |
@@ -143,8 +143,7 @@ Environment image references: **119/119**; verifier image references: **119/119*
143
  | `GPL-3.0` | 1 |
144
  | `GPL-3.0-or-later` | 1 |
145
  | `LGPL-2.1-family` | 2 |
146
- | `LGPL-3.0` | 1 |
147
- | `LGPL-3.0-family` | 6 |
148
  | `LGPL-3.0-or-later` | 2 |
149
  | `LGPL-family` | 1 |
150
  | `MIT` | 46 |
 
135
 
136
  | Value | Count |
137
  | --- | ---: |
138
+ | `AGPL-family` | 3 |
139
  | `Academic-NonCommercial` | 1 |
140
  | `Apache-2.0` | 13 |
141
  | `BSD-2-Clause` | 2 |
 
143
  | `GPL-3.0` | 1 |
144
  | `GPL-3.0-or-later` | 1 |
145
  | `LGPL-2.1-family` | 2 |
146
+ | `LGPL-3.0-family` | 8 |
 
147
  | `LGPL-3.0-or-later` | 2 |
148
  | `LGPL-family` | 1 |
149
  | `MIT` | 46 |
data/tasks.csv CHANGED
The diff for this file is too large to render. See raw diff
 
manifests/tasks.jsonl CHANGED
@@ -10,8 +10,8 @@
10
  {"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"}
11
  {"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"}
12
  {"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"}
13
- {"base_commit": "ab1c5a33031a2e64581f5e663ef8e2f6203a5220", "domain": "plasma-stability", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-013:v0.1.0@sha256:a3b7e33f2e5caafd4dd3bc6de1564ba629d0b8d994c4ab510f687825e09cc220", "environment_image_digest": "sha256:a3b7e33f2e5caafd4dd3bc6de1564ba629d0b8d994c4ab510f687825e09cc220", "environment_image_id": "sha256:a3b7e33f2e5caafd4dd3bc6de1564ba629d0b8d994c4ab510f687825e09cc220", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-013:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "environment/repo/THIRD_PARTY_NOTICES.md", "public_payload_sha256": "8a741c068280d746fcccee0949573e62eca905de6ff22c71192c1e5ad0a5f419", "release_id": "013", "repository_url": "https://github.com/PlasmaControl/DESC", "restricted_license": false, "schema_version": 1, "source_license": "MIT AND Apache-2.0", "status": "dockerhub-published", "task_path": "tasks/task_013", "title": "Establish boundary-regime operator and energy closure in the TERPSICHORE-native path", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-013:v0.1.0@sha256:0313891e0ae671a89ca41299c724c36c0331f4b6ebec83979b2e0840a8564717", "verifier_image_digest": "sha256:0313891e0ae671a89ca41299c724c36c0331f4b6ebec83979b2e0840a8564717", "verifier_image_id": "sha256:0313891e0ae671a89ca41299c724c36c0331f4b6ebec83979b2e0840a8564717", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-013:v0.1.0"}
14
- {"base_commit": "ab1c5a33031a2e64581f5e663ef8e2f6203a5220", "domain": "plasma-stability", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-014:v0.1.0@sha256:0ec1ede2dbce6aa5db7173697fe82db45d252d8f2c0fb4616ae28c441d49d43f", "environment_image_digest": "sha256:0ec1ede2dbce6aa5db7173697fe82db45d252d8f2c0fb4616ae28c441d49d43f", "environment_image_id": "sha256:0ec1ede2dbce6aa5db7173697fe82db45d252d8f2c0fb4616ae28c441d49d43f", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-014:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "environment/repo/THIRD_PARTY_NOTICES.md", "public_payload_sha256": "9da2887cb1f10428b3e33208aae7d05b0dc73bb876bab6858ed297b480e7bfbf", "release_id": "014", "repository_url": "https://github.com/PlasmaControl/DESC", "restricted_license": false, "schema_version": 1, "source_license": "MIT AND Apache-2.0", "status": "dockerhub-published", "task_path": "tasks/task_014", "title": "Complete the native multi-equilibrium TERPSICHORE workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-014:v0.1.0@sha256:5febf367b244f786ee2b6fcb2c9b56b7fe7271df98798daa3660a8fc7daf3324", "verifier_image_digest": "sha256:5febf367b244f786ee2b6fcb2c9b56b7fe7271df98798daa3660a8fc7daf3324", "verifier_image_id": "sha256:5febf367b244f786ee2b6fcb2c9b56b7fe7271df98798daa3660a8fc7daf3324", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-014:v0.1.0"}
15
  {"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"}
16
  {"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"}
17
  {"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"}
@@ -74,20 +74,20 @@
74
  {"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"}
75
  {"base_commit": "a9bcbc505de7d905dbc2a598b10c17a49e0131d8", "domain": "molecular-dynamics-machine-learning-potentials", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-c-task-075:v0.1.0@sha256:7beaf3765d9cf49e2d3f647833f63266dfa15bc9978b753755050a66a7ec15dc", "environment_image_digest": "sha256:7beaf3765d9cf49e2d3f647833f63266dfa15bc9978b753755050a66a7ec15dc", "environment_image_id": "sha256:7beaf3765d9cf49e2d3f647833f63266dfa15bc9978b753755050a66a7ec15dc", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-c-task-075:v0.1.0", "gpl_family": true, "image_platform": "linux/amd64", "language": "c++", "license_gate": "gpl-family", "license_source": "LICENSE", "public_payload_sha256": "086c38f2b97dbfebbece51b6f558f80eb85378ff99409b964ffc36f4c082ef3e", "release_id": "075", "repository_url": "https://github.com/deepmodeling/deepmd-kit", "restricted_license": true, "schema_version": 1, "source_license": "LGPL-3.0-family", "status": "dockerhub-published", "task_path": "tasks/task_075", "title": "Restore consistent compressed Deep Potential tabulation", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-c-task-075:v0.1.0@sha256:c50d05f06eee0035eb02e057017cbdbfae6a9855a900ac819bb90b937285a022", "verifier_image_digest": "sha256:c50d05f06eee0035eb02e057017cbdbfae6a9855a900ac819bb90b937285a022", "verifier_image_id": "sha256:c50d05f06eee0035eb02e057017cbdbfae6a9855a900ac819bb90b937285a022", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-c-task-075:v0.1.0"}
76
  {"base_commit": "5f57b6408864caab207c28f773a14c6261689abe", "domain": "convex-optimization-parametric-workflows", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-076:v0.1.0@sha256:1a50e20a9caf81566ac7f3f9d356b04b8352a7eb3532f8a5543307ef3f0670fe", "environment_image_digest": "sha256:1a50e20a9caf81566ac7f3f9d356b04b8352a7eb3532f8a5543307ef3f0670fe", "environment_image_id": "sha256:1a50e20a9caf81566ac7f3f9d356b04b8352a7eb3532f8a5543307ef3f0670fe", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-076:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE", "public_payload_sha256": "c2303ccea73430e7cca4a82672bdf8c5ea7465237e18f465358267c979f4cb4d", "release_id": "076", "repository_url": "https://github.com/cvxpy/cvxpy", "restricted_license": false, "schema_version": 1, "source_license": "Apache-2.0", "status": "dockerhub-published", "task_path": "tasks/task_076", "title": "Repair a batched parametric tracking workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-076:v0.1.0@sha256:c40da6ce2cafe0194e2d74ca0380587b696890713c163a17624a855c86247404", "verifier_image_digest": "sha256:c40da6ce2cafe0194e2d74ca0380587b696890713c163a17624a855c86247404", "verifier_image_id": "sha256:c40da6ce2cafe0194e2d74ca0380587b696890713c163a17624a855c86247404", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-076:v0.1.0"}
77
- {"base_commit": "d2872f6c4d7c99b16f8a71d99cd56d0a5fe54695", "domain": "computational-geometry", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-077:v0.1.0@sha256:c0164a3b9503d40d28bdb96503976e673fd0a29c924cfb24e198cd2698d1a2e8", "environment_image_digest": "sha256:c0164a3b9503d40d28bdb96503976e673fd0a29c924cfb24e198cd2698d1a2e8", "environment_image_id": "sha256:c0164a3b9503d40d28bdb96503976e673fd0a29c924cfb24e198cd2698d1a2e8", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-077:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "github-api:LICENSE.txt@d2872f6c4d7c99b16f8a71d99cd56d0a5fe54695", "public_payload_sha256": "281a98b13117b5df40f97a7237a835fd669856b82c6afb0913e700dc35f33055", "release_id": "077", "repository_url": "https://github.com/shapely/shapely", "restricted_license": false, "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_077", "title": "Repair an inconsistent oriented-envelope fallback workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-077:v0.1.0@sha256:f9f3eb576dd41c94b0407e0a0395e1df75d6cad627be53a028bc995d4f66e633", "verifier_image_digest": "sha256:f9f3eb576dd41c94b0407e0a0395e1df75d6cad627be53a028bc995d4f66e633", "verifier_image_id": "sha256:f9f3eb576dd41c94b0407e0a0395e1df75d6cad627be53a028bc995d4f66e633", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-077:v0.1.0"}
78
- {"base_commit": "", "domain": "astronomical-image-analysis-and-wcs-aperture-photometry", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-078:v0.1.0@sha256:5b91a58b57d7fd6c87dbbeab4daf50ef8f9deb08db5c5d8063d77eb67dcd93b1", "environment_image_digest": "sha256:5b91a58b57d7fd6c87dbbeab4daf50ef8f9deb08db5c5d8063d77eb67dcd93b1", "environment_image_id": "sha256:5b91a58b57d7fd6c87dbbeab4daf50ef8f9deb08db5c5d8063d77eb67dcd93b1", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-078:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE.rst", "public_payload_sha256": "842e8b9cc90cfc2fa565d985ad1d43d880025e8237e60838f0d164d37f50f906", "release_id": "078", "repository_url": "", "restricted_license": false, "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_078", "title": "Repair an inconsistent astronomical aperture workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-078:v0.1.0@sha256:9a64793e10d20c2c0b719ae87a72d795435b24f5efb8577071b693ec88b6f882", "verifier_image_digest": "sha256:9a64793e10d20c2c0b719ae87a72d795435b24f5efb8577071b693ec88b6f882", "verifier_image_id": "sha256:9a64793e10d20c2c0b719ae87a72d795435b24f5efb8577071b693ec88b6f882", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-078:v0.1.0"}
79
- {"base_commit": "55f4e3437b6fb68deafa533cb00277b119e6eb8a", "domain": "computational-chemistry-molecular-representations", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-079:v0.1.0@sha256:700ef06ac1ce8d1550984b274b58f9440ca378a240bdc3064e51ab1d302fcad6", "environment_image_digest": "sha256:700ef06ac1ce8d1550984b274b58f9440ca378a240bdc3064e51ab1d302fcad6", "environment_image_id": "sha256:700ef06ac1ce8d1550984b274b58f9440ca378a240bdc3064e51ab1d302fcad6", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-079:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE", "public_payload_sha256": "a4dd29c213c064d6ebe5d7024b329032ab8da4aedf0287da8de36c8964403d1f", "release_id": "079", "repository_url": "https://github.com/aspuru-guzik-group/selfies", "restricted_license": false, "schema_version": 1, "source_license": "Apache-2.0", "status": "dockerhub-published", "task_path": "tasks/task_079", "title": "Repair molecular-string translation for catalogue workflows", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-079:v0.1.0@sha256:243dfa0eb24b77c5c08a9141b632177711d7f438177f0f737c0c2d453c14f7f4", "verifier_image_digest": "sha256:243dfa0eb24b77c5c08a9141b632177711d7f438177f0f737c0c2d453c14f7f4", "verifier_image_id": "sha256:243dfa0eb24b77c5c08a9141b632177711d7f438177f0f737c0c2d453c14f7f4", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-079:v0.1.0"}
80
  {"base_commit": "7d252520dbf81b168a2789a6aedfb75d04a21061", "domain": "geospatial-raster-reprojection", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-080:v0.1.0@sha256:bd33e55e04ded03f1911abe6f673e4217c4fed04e14db72be630c1503cd10735", "environment_image_digest": "sha256:bd33e55e04ded03f1911abe6f673e4217c4fed04e14db72be630c1503cd10735", "environment_image_id": "sha256:bd33e55e04ded03f1911abe6f673e4217c4fed04e14db72be630c1503cd10735", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-080:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE.txt", "public_payload_sha256": "2e7d63a1052c7b94245de245deed7e14e20169bb0ad2447c854e4f1d6026fa6e", "release_id": "080", "repository_url": "https://github.com/xarray-contrib/xarray-spatial", "restricted_license": false, "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_080", "title": "Repair inconsistent geospatial raster remapping", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-080:v0.1.0@sha256:0bd2b80b544ce97b0ecbab0c397a5d68014ee7cb2c3133be648db3d3ca0045ed", "verifier_image_digest": "sha256:0bd2b80b544ce97b0ecbab0c397a5d68014ee7cb2c3133be648db3d3ca0045ed", "verifier_image_id": "sha256:0bd2b80b544ce97b0ecbab0c397a5d68014ee7cb2c3133be648db3d3ca0045ed", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-080:v0.1.0"}
81
- {"base_commit": "", "domain": "single-cell-annotated-data-containers", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-081:v0.1.0@sha256:6114de7210e1f47c1ad558a9ca8886105a5ecf5af6a8453a9c7732ac415a7431", "environment_image_digest": "sha256:6114de7210e1f47c1ad558a9ca8886105a5ecf5af6a8453a9c7732ac415a7431", "environment_image_id": "sha256:6114de7210e1f47c1ad558a9ca8886105a5ecf5af6a8453a9c7732ac415a7431", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-081:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE", "public_payload_sha256": "d0c8f80b09a6b76fe96ceb4bb7c2fbccf23feb16a911a23d5aa81234e9f6cf7c", "release_id": "081", "repository_url": "https://github.com/scverse/anndata", "restricted_license": false, "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_081", "title": "Repair local study workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-081:v0.1.0@sha256:3a3f4428f0129a1302f743125649b4bea7445e57912bdd734ad3452389003efa", "verifier_image_digest": "sha256:3a3f4428f0129a1302f743125649b4bea7445e57912bdd734ad3452389003efa", "verifier_image_id": "sha256:3a3f4428f0129a1302f743125649b4bea7445e57912bdd734ad3452389003efa", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-081:v0.1.0"}
82
- {"base_commit": "02a442c6bd7da9b5b2c9f958d3a103f5d6cd2a27", "domain": "atomistic-machine-learning-and-molecular-simulation", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-082:v0.1.0@sha256:ff25e7997b4194fb53e3df8b71d48e8db25d299bf632ebebdb6a162925e73204", "environment_image_digest": "sha256:ff25e7997b4194fb53e3df8b71d48e8db25d299bf632ebebdb6a162925e73204", "environment_image_id": "sha256:ff25e7997b4194fb53e3df8b71d48e8db25d299bf632ebebdb6a162925e73204", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-082:v0.1.0", "gpl_family": true, "image_platform": "linux/amd64", "language": "python", "license_gate": "gpl-family", "license_source": "github-api:LICENSE@02a442c6bd7da9b5b2c9f958d3a103f5d6cd2a27", "public_payload_sha256": "2385deedff3d0a8ef16754877f091f473675d1dabfd7a965bd63a5d15ad6e987", "release_id": "082", "repository_url": "https://github.com/deepmodeling/dpgen", "restricted_license": true, "schema_version": 1, "source_license": "LGPL-3.0", "status": "dockerhub-published", "task_path": "tasks/task_082", "title": "Repair a workflow consistency bug", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-082:v0.1.0@sha256:a829af72c8e716a904d83a590a865d07a7b9a31a8d4b7083afbf90b6611a937c", "verifier_image_digest": "sha256:a829af72c8e716a904d83a590a865d07a7b9a31a8d4b7083afbf90b6611a937c", "verifier_image_id": "sha256:a829af72c8e716a904d83a590a865d07a7b9a31a8d4b7083afbf90b6611a937c", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-082:v0.1.0"}
83
- {"base_commit": "37b0bef6fd9d5945f1b752ac82d4f8564728cd8b", "domain": "computational-chemistry", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-083:v0.1.0@sha256:9483e6962b892e928f5f1e1c608d646d2d35c5899da15f57fa7bc8c23bd2e14f", "environment_image_digest": "sha256:9483e6962b892e928f5f1e1c608d646d2d35c5899da15f57fa7bc8c23bd2e14f", "environment_image_id": "sha256:9483e6962b892e928f5f1e1c608d646d2d35c5899da15f57fa7bc8c23bd2e14f", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-083:v0.1.0", "gpl_family": true, "image_platform": "linux/amd64", "language": "python", "license_gate": "gpl-family", "license_source": "LICENSE", "public_payload_sha256": "48f2557e6046a003e567fb8b9055d9a6f9a93401f664313f9c04cedadd30780c", "release_id": "083", "repository_url": "https://github.com/deepmodeling/reacnetgenerator", "restricted_license": true, "schema_version": 1, "source_license": "LGPL-3.0-family", "status": "dockerhub-published", "task_path": "tasks/task_083", "title": "Repair bond-order species reporting", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-083:v0.1.0@sha256:a1c0f1dabd6d4c334c815cb398eda399fbb8b7739b7b5ec60ea8abb1882b7727", "verifier_image_digest": "sha256:a1c0f1dabd6d4c334c815cb398eda399fbb8b7739b7b5ec60ea8abb1882b7727", "verifier_image_id": "sha256:a1c0f1dabd6d4c334c815cb398eda399fbb8b7739b7b5ec60ea8abb1882b7727", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-083:v0.1.0"}
84
- {"base_commit": "80abfc5037876c0e883dcb58cd96521397e3fe36", "domain": "materials-science-scientific-data-semantics", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-084:v0.1.0@sha256:735e7ece88fa49a77257cfb2a59b435ed6ef511e99cc1739e24b366ea129836b", "environment_image_digest": "sha256:735e7ece88fa49a77257cfb2a59b435ed6ef511e99cc1739e24b366ea129836b", "environment_image_id": "sha256:735e7ece88fa49a77257cfb2a59b435ed6ef511e99cc1739e24b366ea129836b", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-084:v0.1.0", "gpl_family": true, "image_platform": "linux/amd64", "language": "python", "license_gate": "gpl-family", "license_source": "LICENSE", "public_payload_sha256": "0b14a30b4b7ceb203ee7c08d2196b2c8b6a4efa48f85b12627a87a49f5f8b83d", "release_id": "084", "repository_url": "https://github.com/deepmodeling/dpdata", "restricted_license": true, "schema_version": 1, "source_license": "LGPL-3.0-family", "status": "dockerhub-published", "task_path": "tasks/task_084", "title": "Repair ABACUS relaxation archive/reload semantics", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-084:v0.1.0@sha256:8cbe4554c727f25c1584f79c48f574a3d08e1fcf6d3c4cb32df36a7d8482216a", "verifier_image_digest": "sha256:8cbe4554c727f25c1584f79c48f574a3d08e1fcf6d3c4cb32df36a7d8482216a", "verifier_image_id": "sha256:8cbe4554c727f25c1584f79c48f574a3d08e1fcf6d3c4cb32df36a7d8482216a", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-084:v0.1.0"}
85
- {"base_commit": "d4da8c5027b643291f3a6295efd4340ce79d6a36", "domain": "computational-chemistry-and-solvation", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-fortran-task-085:v0.1.0@sha256:c4613c3e94fefc6cd721075d314d4fc463269cdd92cf7f6d0b656078a838a7cd", "environment_image_digest": "sha256:c4613c3e94fefc6cd721075d314d4fc463269cdd92cf7f6d0b656078a838a7cd", "environment_image_id": "sha256:c4613c3e94fefc6cd721075d314d4fc463269cdd92cf7f6d0b656078a838a7cd", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-fortran-task-085:v0.1.0", "gpl_family": true, "image_platform": "linux/amd64", "language": "fortran", "license_gate": "gpl-family", "license_source": "COPYING", "public_payload_sha256": "2db37177603a05c62b276b94c738f8592f40853359df72a3f25205c1d5bb5748", "release_id": "085", "repository_url": "https://github.com/dftbplus/dftbplus", "restricted_license": true, "schema_version": 1, "source_license": "AGPL-family", "status": "dockerhub-published", "task_path": "tasks/task_085", "title": "Inconsistent archived observables", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-fortran-task-085:v0.1.0@sha256:e68ac55c7cfb257756103351c305b97789d72f1e79203305d2aa7fa39e657eb1", "verifier_image_digest": "sha256:e68ac55c7cfb257756103351c305b97789d72f1e79203305d2aa7fa39e657eb1", "verifier_image_id": "sha256:e68ac55c7cfb257756103351c305b97789d72f1e79203305d2aa7fa39e657eb1", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-fortran-task-085:v0.1.0"}
86
  {"base_commit": "02b415ba8bb25244bc5e3ad970491f0fbbea0292", "domain": "atomistic-machine-learning-potentials", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-086:v0.1.0@sha256:7a54bd7e811a51abdd7571abbc03213eece0310016b174bfa52dcbe4ad171476", "environment_image_digest": "sha256:7a54bd7e811a51abdd7571abbc03213eece0310016b174bfa52dcbe4ad171476", "environment_image_id": "sha256:7a54bd7e811a51abdd7571abbc03213eece0310016b174bfa52dcbe4ad171476", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-086:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE", "public_payload_sha256": "dd83643eed59e22c0cf5fa9d29e4de990944b8add3edd5058391df75a585f537", "release_id": "086", "repository_url": "https://github.com/materialyzeai/matgl", "restricted_license": false, "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_086", "title": "Repair a silent MatGL fine-tuning incompatibility", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-086:v0.1.0@sha256:fb47312ac7443db59115807334c5d2345e3a2fb7a8f83d89bc8bfb48f7ce4bac", "verifier_image_digest": "sha256:fb47312ac7443db59115807334c5d2345e3a2fb7a8f83d89bc8bfb48f7ce4bac", "verifier_image_id": "sha256:fb47312ac7443db59115807334c5d2345e3a2fb7a8f83d89bc8bfb48f7ce4bac", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-086:v0.1.0"}
87
  {"base_commit": "ee6016ab81dd649ab40439d75212f35669302810", "domain": "diffusion-mri-denoising", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-087:v0.1.0@sha256:5a00e4d7a825618ba70259ef5c5e229f7ba2549ab7648ead6fc91fce31256793", "environment_image_digest": "sha256:5a00e4d7a825618ba70259ef5c5e229f7ba2549ab7648ead6fc91fce31256793", "environment_image_id": "sha256:5a00e4d7a825618ba70259ef5c5e229f7ba2549ab7648ead6fc91fce31256793", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-087:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE", "public_payload_sha256": "442792643e44ca3c36c70b3d63c80708e9f58b5972e5bdf43e90834720834814", "release_id": "087", "repository_url": "https://github.com/dipy/dipy", "restricted_license": false, "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_087", "title": "Repair a silent diffusion-MRI denoising inconsistency", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-087:v0.1.0@sha256:b1ce39c75913bccef5f09acfd2b989857c071fc64c7fdc0dbff092e14dc5270f", "verifier_image_digest": "sha256:b1ce39c75913bccef5f09acfd2b989857c071fc64c7fdc0dbff092e14dc5270f", "verifier_image_id": "sha256:b1ce39c75913bccef5f09acfd2b989857c071fc64c7fdc0dbff092e14dc5270f", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-087:v0.1.0"}
88
- {"base_commit": "0b071e369a88f6672accc2a99c40d3b4b334f2f9", "domain": "boundary-aggregation", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-088:v0.1.0@sha256:c98a81a135c210d7681b57574c8f39a00f1a92778e458dc5300a7f2775e2ba6f", "environment_image_digest": "sha256:c98a81a135c210d7681b57574c8f39a00f1a92778e458dc5300a7f2775e2ba6f", "environment_image_id": "sha256:c98a81a135c210d7681b57574c8f39a00f1a92778e458dc5300a7f2775e2ba6f", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-088:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE", "public_payload_sha256": "5e7474f8aa8269a9d76e03f048cce31b30e91fadfa8bb5e3401d63b59c63ddbf", "release_id": "088", "repository_url": "https://github.com/pydata/xarray", "restricted_license": false, "schema_version": 1, "source_license": "Apache-2.0", "status": "dockerhub-published", "task_path": "tasks/task_088", "title": "Repair a boundary aggregation failure", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-088:v0.1.0@sha256:9f8a00b079fb998f0672f57af8f75628dabc8582122a294f2b20cd304503ac6e", "verifier_image_digest": "sha256:9f8a00b079fb998f0672f57af8f75628dabc8582122a294f2b20cd304503ac6e", "verifier_image_id": "sha256:9f8a00b079fb998f0672f57af8f75628dabc8582122a294f2b20cd304503ac6e", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-088:v0.1.0"}
89
- {"base_commit": "6ba33bdd48bf336a81400147d2870323b241e457", "domain": "computational-chemistry-spectroscopy", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-089:v0.1.0@sha256:87e8b70f8d192990fe5a0f5d1773dcb304ab1bf5074a187236f2e0bd041ba356", "environment_image_digest": "sha256:87e8b70f8d192990fe5a0f5d1773dcb304ab1bf5074a187236f2e0bd041ba356", "environment_image_id": "sha256:87e8b70f8d192990fe5a0f5d1773dcb304ab1bf5074a187236f2e0bd041ba356", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-089:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE", "public_payload_sha256": "fe78fd81c8f3bde1750d471aec4416de4b93ff45a1490008fe50e529855c6782", "release_id": "089", "repository_url": "https://github.com/cclib/cclib", "restricted_license": false, "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_089", "title": "Repair inconsistent ORCA excited-state oscillator strengths", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-089:v0.1.0@sha256:66ee7d7df906e3cad4e9d27664f1c6ea9bd6673ef36d5ddd61f5aaa75c88db60", "verifier_image_digest": "sha256:66ee7d7df906e3cad4e9d27664f1c6ea9bd6673ef36d5ddd61f5aaa75c88db60", "verifier_image_id": "sha256:66ee7d7df906e3cad4e9d27664f1c6ea9bd6673ef36d5ddd61f5aaa75c88db60", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-089:v0.1.0"}
90
- {"base_commit": "", "domain": "nuclear-magnetic-resonance-spectroscopy", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-090:v0.1.0@sha256:a2a7d3de4b603c2e170a1ea679103aeefdd43c1503f5c2210f32fec9f51e3efa", "environment_image_digest": "sha256:a2a7d3de4b603c2e170a1ea679103aeefdd43c1503f5c2210f32fec9f51e3efa", "environment_image_id": "sha256:a2a7d3de4b603c2e170a1ea679103aeefdd43c1503f5c2210f32fec9f51e3efa", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-090:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE.txt", "public_payload_sha256": "dd119886283401127edc350f562371a2bad9d92d79cfe0488afeaa26a8dde9b4", "release_id": "090", "repository_url": "", "restricted_license": false, "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_090", "title": "Restore multidimensional NMR acquisition grids", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-090:v0.1.0@sha256:8ba7b5dff3e7bd208683b7d457ebfe6277ce4bdd218bea4d2e0ea322f49a5007", "verifier_image_digest": "sha256:8ba7b5dff3e7bd208683b7d457ebfe6277ce4bdd218bea4d2e0ea322f49a5007", "verifier_image_id": "sha256:8ba7b5dff3e7bd208683b7d457ebfe6277ce4bdd218bea4d2e0ea322f49a5007", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-090:v0.1.0"}
91
  {"base_commit": "c8cfee71f3ce5d92c5b5f6ca3d363f8f3a9f4495", "domain": "materials-science-volumetric-data-semantics", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-091:v0.1.0@sha256:e99b9784d9297b360713e12ff77833dfa629f31298f504322fa3ee98dc833ed8", "environment_image_digest": "sha256:e99b9784d9297b360713e12ff77833dfa629f31298f504322fa3ee98dc833ed8", "environment_image_id": "sha256:e99b9784d9297b360713e12ff77833dfa629f31298f504322fa3ee98dc833ed8", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-091:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE", "public_payload_sha256": "ee6d2a8fa5af6c99aded10bacf8ffa2910bcb148ed68fb80707b9cebe7eb0437", "release_id": "091", "repository_url": "https://github.com/materialsproject/pymatgen-core", "restricted_license": false, "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_091", "title": "Repair a workflow regression", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-091:v0.1.0@sha256:274078dbc1df8898a9f4d704e0e833c21b54447ff33e78314d2cc6e8c2e16435", "verifier_image_digest": "sha256:274078dbc1df8898a9f4d704e0e833c21b54447ff33e78314d2cc6e8c2e16435", "verifier_image_id": "sha256:274078dbc1df8898a9f4d704e0e833c21b54447ff33e78314d2cc6e8c2e16435", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-091:v0.1.0"}
92
  {"base_commit": "1f367d55d1bac14dd6b9e0cd5746574fcfab9a59", "domain": "ai-chemistry-reaction-property-learning", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-092:v0.1.0@sha256:43ddc1b17809459d59ff0d6eaf8886368305e6164d7076d81a1660685a8dfac5", "environment_image_digest": "sha256:43ddc1b17809459d59ff0d6eaf8886368305e6164d7076d81a1660685a8dfac5", "environment_image_id": "sha256:43ddc1b17809459d59ff0d6eaf8886368305e6164d7076d81a1660685a8dfac5", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-092:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE.txt", "public_payload_sha256": "873bfddc79c4be961e1b653f28bf7718df73b74df7a12102e96a97ac64f51f07", "release_id": "092", "repository_url": "https://github.com/chemprop/chemprop", "restricted_license": false, "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_092", "title": "Repair inconsistent Chemprop reaction observations", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-092:v0.1.0@sha256:6eac8072686557e2a87b94a3600cdb5e6e1a94862c97c69cdf34a916ea0d7c83", "verifier_image_digest": "sha256:6eac8072686557e2a87b94a3600cdb5e6e1a94862c97c69cdf34a916ea0d7c83", "verifier_image_id": "sha256:6eac8072686557e2a87b94a3600cdb5e6e1a94862c97c69cdf34a916ea0d7c83", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-092:v0.1.0"}
93
  {"base_commit": "5a644e4edcc37e5c963e52fda6fab4c85b3ff02e", "domain": "medical-image-processing", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-093:v0.1.0@sha256:5a60042d49b60549e07475ed0d0f717e1ceddac7c1e7832cec4803a8c5647e6a", "environment_image_digest": "sha256:5a60042d49b60549e07475ed0d0f717e1ceddac7c1e7832cec4803a8c5647e6a", "environment_image_id": "sha256:5a60042d49b60549e07475ed0d0f717e1ceddac7c1e7832cec4803a8c5647e6a", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-093:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "github-api:LICENSE@5a644e4edcc37e5c963e52fda6fab4c85b3ff02e", "public_payload_sha256": "0756b99aa4bc899129a72159146d991cddcd1544c136b1d3e76eb47f583c1cf3", "release_id": "093", "repository_url": "https://github.com/Project-MONAI/MONAI", "restricted_license": false, "schema_version": 1, "source_license": "Apache-2.0", "status": "dockerhub-published", "task_path": "tasks/task_093", "title": "Repair a patient-space round trip in MONAI", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-093:v0.1.0@sha256:1a0872591921ff43bf480d6d6daa9e99f8f30c94d74f308337235ca21fe08e26", "verifier_image_digest": "sha256:1a0872591921ff43bf480d6d6daa9e99f8f30c94d74f308337235ca21fe08e26", "verifier_image_id": "sha256:1a0872591921ff43bf480d6d6daa9e99f8f30c94d74f308337235ca21fe08e26", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-093:v0.1.0"}
 
10
  {"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"}
11
  {"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"}
12
  {"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"}
13
+ {"base_commit": "ab1c5a33031a2e64581f5e663ef8e2f6203a5220", "domain": "plasma-stability", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-013:v0.1.0@sha256:440fac5af67d594f3353b77e800fd23a0b0b57c6ce8b491cfa96fa70f8386ae6", "environment_image_digest": "sha256:440fac5af67d594f3353b77e800fd23a0b0b57c6ce8b491cfa96fa70f8386ae6", "environment_image_id": "sha256:440fac5af67d594f3353b77e800fd23a0b0b57c6ce8b491cfa96fa70f8386ae6", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-013:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "github-api:LICENSE@ab1c5a33031a2e64581f5e663ef8e2f6203a5220", "public_payload_sha256": "26223383f9ae3d913f440b76d92579dbf8a8db816c578b4b3f9d1ceacac2f0d5", "release_id": "013", "repository_url": "https://github.com/PlasmaControl/DESC", "restricted_license": false, "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_013", "title": "Establish boundary-regime operator and energy closure in the TERPSICHORE-native path", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-013:v0.1.0@sha256:f68b8c823724cca42f43145922859e183a018c5ea9c4205fe5b61e3ecebac878", "verifier_image_digest": "sha256:f68b8c823724cca42f43145922859e183a018c5ea9c4205fe5b61e3ecebac878", "verifier_image_id": "sha256:f68b8c823724cca42f43145922859e183a018c5ea9c4205fe5b61e3ecebac878", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-013:v0.1.0"}
14
+ {"base_commit": "ab1c5a33031a2e64581f5e663ef8e2f6203a5220", "domain": "plasma-stability", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-014:v0.1.0@sha256:d43ca8fee4244a69302cb5c69bbefa88e6ded15761589ed73c56f2e6077ffb10", "environment_image_digest": "sha256:d43ca8fee4244a69302cb5c69bbefa88e6ded15761589ed73c56f2e6077ffb10", "environment_image_id": "sha256:d43ca8fee4244a69302cb5c69bbefa88e6ded15761589ed73c56f2e6077ffb10", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-014:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE", "public_payload_sha256": "96a3a4ff010c69e1334bd8f8ca21d9461508c60e7bdcc76d6982e7519a3dd5f7", "release_id": "014", "repository_url": "https://github.com/PlasmaControl/DESC", "restricted_license": false, "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_014", "title": "Complete the native multi-equilibrium TERPSICHORE workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-014:v0.1.0@sha256:9d4ec1597ff0ea20e8355f790a4d8fcb0198dec12a7ccfefe6a18cdd205b7362", "verifier_image_digest": "sha256:9d4ec1597ff0ea20e8355f790a4d8fcb0198dec12a7ccfefe6a18cdd205b7362", "verifier_image_id": "sha256:9d4ec1597ff0ea20e8355f790a4d8fcb0198dec12a7ccfefe6a18cdd205b7362", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-014:v0.1.0"}
15
  {"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"}
16
  {"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"}
17
  {"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"}
 
74
  {"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"}
75
  {"base_commit": "a9bcbc505de7d905dbc2a598b10c17a49e0131d8", "domain": "molecular-dynamics-machine-learning-potentials", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-c-task-075:v0.1.0@sha256:7beaf3765d9cf49e2d3f647833f63266dfa15bc9978b753755050a66a7ec15dc", "environment_image_digest": "sha256:7beaf3765d9cf49e2d3f647833f63266dfa15bc9978b753755050a66a7ec15dc", "environment_image_id": "sha256:7beaf3765d9cf49e2d3f647833f63266dfa15bc9978b753755050a66a7ec15dc", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-c-task-075:v0.1.0", "gpl_family": true, "image_platform": "linux/amd64", "language": "c++", "license_gate": "gpl-family", "license_source": "LICENSE", "public_payload_sha256": "086c38f2b97dbfebbece51b6f558f80eb85378ff99409b964ffc36f4c082ef3e", "release_id": "075", "repository_url": "https://github.com/deepmodeling/deepmd-kit", "restricted_license": true, "schema_version": 1, "source_license": "LGPL-3.0-family", "status": "dockerhub-published", "task_path": "tasks/task_075", "title": "Restore consistent compressed Deep Potential tabulation", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-c-task-075:v0.1.0@sha256:c50d05f06eee0035eb02e057017cbdbfae6a9855a900ac819bb90b937285a022", "verifier_image_digest": "sha256:c50d05f06eee0035eb02e057017cbdbfae6a9855a900ac819bb90b937285a022", "verifier_image_id": "sha256:c50d05f06eee0035eb02e057017cbdbfae6a9855a900ac819bb90b937285a022", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-c-task-075:v0.1.0"}
76
  {"base_commit": "5f57b6408864caab207c28f773a14c6261689abe", "domain": "convex-optimization-parametric-workflows", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-076:v0.1.0@sha256:1a50e20a9caf81566ac7f3f9d356b04b8352a7eb3532f8a5543307ef3f0670fe", "environment_image_digest": "sha256:1a50e20a9caf81566ac7f3f9d356b04b8352a7eb3532f8a5543307ef3f0670fe", "environment_image_id": "sha256:1a50e20a9caf81566ac7f3f9d356b04b8352a7eb3532f8a5543307ef3f0670fe", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-076:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE", "public_payload_sha256": "c2303ccea73430e7cca4a82672bdf8c5ea7465237e18f465358267c979f4cb4d", "release_id": "076", "repository_url": "https://github.com/cvxpy/cvxpy", "restricted_license": false, "schema_version": 1, "source_license": "Apache-2.0", "status": "dockerhub-published", "task_path": "tasks/task_076", "title": "Repair a batched parametric tracking workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-076:v0.1.0@sha256:c40da6ce2cafe0194e2d74ca0380587b696890713c163a17624a855c86247404", "verifier_image_digest": "sha256:c40da6ce2cafe0194e2d74ca0380587b696890713c163a17624a855c86247404", "verifier_image_id": "sha256:c40da6ce2cafe0194e2d74ca0380587b696890713c163a17624a855c86247404", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-076:v0.1.0"}
77
+ {"base_commit": "d2872f6c4d7c99b16f8a71d99cd56d0a5fe54695", "domain": "computational-geometry", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-077:v0.1.1@sha256:beb11a067f8267b19c73e9994ab2f4c364bdcca5e7c94e58b1454fe75f4f6c95", "environment_image_digest": "sha256:beb11a067f8267b19c73e9994ab2f4c364bdcca5e7c94e58b1454fe75f4f6c95", "environment_image_id": "sha256:beb11a067f8267b19c73e9994ab2f4c364bdcca5e7c94e58b1454fe75f4f6c95", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-077:v0.1.1", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE.txt", "material_licenses": [], "materials_provenance": "", "public_payload_sha256": "281a98b13117b5df40f97a7237a835fd669856b82c6afb0913e700dc35f33055", "release_id": "077", "repository_url": "https://github.com/shapely/shapely", "restricted_license": false, "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_077", "title": "Repair an inconsistent oriented-envelope fallback workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-077:v0.1.1@sha256:eb936b5b0a6db0add7ea609d3b1e2fa52c2fe210e8cc32e301b66ce3221d9051", "verifier_image_digest": "sha256:eb936b5b0a6db0add7ea609d3b1e2fa52c2fe210e8cc32e301b66ce3221d9051", "verifier_image_id": "sha256:eb936b5b0a6db0add7ea609d3b1e2fa52c2fe210e8cc32e301b66ce3221d9051", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-077:v0.1.1"}
78
+ {"base_commit": "eda83f4a57000d5f6763ee7afa9afacebbe0fd68", "domain": "astronomical-image-analysis-and-wcs-aperture-photometry", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-078:v0.1.1@sha256:0e1849bbff6fe2eb30b54b2eaf296f590390fba11f7aeea4afc3dbdad2b1e336", "environment_image_digest": "sha256:0e1849bbff6fe2eb30b54b2eaf296f590390fba11f7aeea4afc3dbdad2b1e336", "environment_image_id": "sha256:0e1849bbff6fe2eb30b54b2eaf296f590390fba11f7aeea4afc3dbdad2b1e336", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-078:v0.1.1", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE.rst", "material_licenses": [], "materials_provenance": "", "public_payload_sha256": "e60c70e110ceae698185704aded868fcebb304d67ce96dc699c2a52d8640e254", "release_id": "078", "repository_url": "https://github.com/astropy/photutils", "restricted_license": false, "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_078", "title": "Repair an inconsistent astronomical aperture workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-078:v0.1.1@sha256:ca6a16eab260d44233b515576ba7b879285e92680a316d2fda4559260e18d933", "verifier_image_digest": "sha256:ca6a16eab260d44233b515576ba7b879285e92680a316d2fda4559260e18d933", "verifier_image_id": "sha256:ca6a16eab260d44233b515576ba7b879285e92680a316d2fda4559260e18d933", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-078:v0.1.1"}
79
+ {"base_commit": "55f4e3437b6fb68deafa533cb00277b119e6eb8a", "domain": "computational-chemistry-molecular-representations", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-079:v0.1.1@sha256:4af19fec4854df53db9bf131d3d49bef7f35b61277dadbde83c9033e77a2f881", "environment_image_digest": "sha256:4af19fec4854df53db9bf131d3d49bef7f35b61277dadbde83c9033e77a2f881", "environment_image_id": "sha256:4af19fec4854df53db9bf131d3d49bef7f35b61277dadbde83c9033e77a2f881", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-079:v0.1.1", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE", "material_licenses": [], "materials_provenance": "", "public_payload_sha256": "4eb5b892be7fa0164e7a792f8131d6797e5eaecf3a15b1d6fbd1c41aad61fe2c", "release_id": "079", "repository_url": "https://github.com/aspuru-guzik-group/selfies", "restricted_license": false, "schema_version": 1, "source_license": "Apache-2.0", "status": "dockerhub-published", "task_path": "tasks/task_079", "title": "Repair molecular-string translation for catalogue workflows", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-079:v0.1.1@sha256:6c796c01b6520dfa6df8664a98ca6f5686032c03d6a7cba8f45f697da9aa7206", "verifier_image_digest": "sha256:6c796c01b6520dfa6df8664a98ca6f5686032c03d6a7cba8f45f697da9aa7206", "verifier_image_id": "sha256:6c796c01b6520dfa6df8664a98ca6f5686032c03d6a7cba8f45f697da9aa7206", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-079:v0.1.1"}
80
  {"base_commit": "7d252520dbf81b168a2789a6aedfb75d04a21061", "domain": "geospatial-raster-reprojection", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-080:v0.1.0@sha256:bd33e55e04ded03f1911abe6f673e4217c4fed04e14db72be630c1503cd10735", "environment_image_digest": "sha256:bd33e55e04ded03f1911abe6f673e4217c4fed04e14db72be630c1503cd10735", "environment_image_id": "sha256:bd33e55e04ded03f1911abe6f673e4217c4fed04e14db72be630c1503cd10735", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-080:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE.txt", "public_payload_sha256": "2e7d63a1052c7b94245de245deed7e14e20169bb0ad2447c854e4f1d6026fa6e", "release_id": "080", "repository_url": "https://github.com/xarray-contrib/xarray-spatial", "restricted_license": false, "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_080", "title": "Repair inconsistent geospatial raster remapping", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-080:v0.1.0@sha256:0bd2b80b544ce97b0ecbab0c397a5d68014ee7cb2c3133be648db3d3ca0045ed", "verifier_image_digest": "sha256:0bd2b80b544ce97b0ecbab0c397a5d68014ee7cb2c3133be648db3d3ca0045ed", "verifier_image_id": "sha256:0bd2b80b544ce97b0ecbab0c397a5d68014ee7cb2c3133be648db3d3ca0045ed", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-080:v0.1.0"}
81
+ {"base_commit": "9acb412357f025982b5817bda18bcb5d057a05ba", "domain": "single-cell-annotated-data-containers", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-081:v0.1.1@sha256:452ada5f59b6d0df7986e34626d0b77a8baa81eaab14523e8bb1a56ebf54eef8", "environment_image_digest": "sha256:452ada5f59b6d0df7986e34626d0b77a8baa81eaab14523e8bb1a56ebf54eef8", "environment_image_id": "sha256:452ada5f59b6d0df7986e34626d0b77a8baa81eaab14523e8bb1a56ebf54eef8", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-081:v0.1.1", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE", "material_licenses": [], "materials_provenance": "", "public_payload_sha256": "c4b015e7778c7dc9d33fb8afa94f1336504698cbf1259b0a76a43b843b72928e", "release_id": "081", "repository_url": "https://github.com/scverse/anndata", "restricted_license": false, "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_081", "title": "Repair local study workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-081:v0.1.1@sha256:3673333288212329c2cc68a409ecd68b9070134b95cb2e2e202c123949d66a39", "verifier_image_digest": "sha256:3673333288212329c2cc68a409ecd68b9070134b95cb2e2e202c123949d66a39", "verifier_image_id": "sha256:3673333288212329c2cc68a409ecd68b9070134b95cb2e2e202c123949d66a39", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-081:v0.1.1"}
82
+ {"base_commit": "02a442c6bd7da9b5b2c9f958d3a103f5d6cd2a27", "domain": "atomistic-machine-learning-and-molecular-simulation", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-082:v0.1.1@sha256:117809d14e4a0e2a65fbcb0e56b412d3314ee86fba7a566265964105614a37b4", "environment_image_digest": "sha256:117809d14e4a0e2a65fbcb0e56b412d3314ee86fba7a566265964105614a37b4", "environment_image_id": "sha256:117809d14e4a0e2a65fbcb0e56b412d3314ee86fba7a566265964105614a37b4", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-082:v0.1.1", "gpl_family": true, "image_platform": "linux/amd64", "language": "python", "license_gate": "gpl-family", "license_source": "LICENSE", "material_licenses": [], "materials_provenance": "", "public_payload_sha256": "450071a5b7f7e1693dac697a1f19332287a3022c644dc1043ae394bfd96f31fa", "release_id": "082", "repository_url": "https://github.com/deepmodeling/dpgen", "restricted_license": true, "schema_version": 1, "source_license": "LGPL-3.0-family", "status": "dockerhub-published", "task_path": "tasks/task_082", "title": "Repair a workflow consistency bug", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-082:v0.1.1@sha256:44182cef33ab2fc2d8d48a03e265e4e0b02fa9d058c50442e2d1664415e056ba", "verifier_image_digest": "sha256:44182cef33ab2fc2d8d48a03e265e4e0b02fa9d058c50442e2d1664415e056ba", "verifier_image_id": "sha256:44182cef33ab2fc2d8d48a03e265e4e0b02fa9d058c50442e2d1664415e056ba", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-082:v0.1.1"}
83
+ {"base_commit": "37b0bef6fd9d5945f1b752ac82d4f8564728cd8b", "domain": "computational-chemistry", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-083:v0.1.1@sha256:67c242e115420f16eb9e9bab09c8c7feeac2ed61f71ce493f4133ff9cff9ed3c", "environment_image_digest": "sha256:67c242e115420f16eb9e9bab09c8c7feeac2ed61f71ce493f4133ff9cff9ed3c", "environment_image_id": "sha256:67c242e115420f16eb9e9bab09c8c7feeac2ed61f71ce493f4133ff9cff9ed3c", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-083:v0.1.1", "gpl_family": true, "image_platform": "linux/amd64", "language": "python", "license_gate": "gpl-family", "license_source": "LICENSE", "material_licenses": [], "materials_provenance": "", "public_payload_sha256": "48f2557e6046a003e567fb8b9055d9a6f9a93401f664313f9c04cedadd30780c", "release_id": "083", "repository_url": "https://github.com/deepmodeling/reacnetgenerator", "restricted_license": true, "schema_version": 1, "source_license": "LGPL-3.0-family", "status": "dockerhub-published", "task_path": "tasks/task_083", "title": "Repair bond-order species reporting", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-083:v0.1.1@sha256:805c263e506a34e81845de31330a863db80376580715a08d4b4c23f9354d911e", "verifier_image_digest": "sha256:805c263e506a34e81845de31330a863db80376580715a08d4b4c23f9354d911e", "verifier_image_id": "sha256:805c263e506a34e81845de31330a863db80376580715a08d4b4c23f9354d911e", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-083:v0.1.1"}
84
+ {"base_commit": "80abfc5037876c0e883dcb58cd96521397e3fe36", "domain": "materials-science-scientific-data-semantics", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-084:v0.1.1@sha256:f711ef601b2c039c5d1593175d549cce987bcfcbfc057356507d25b14d1141a2", "environment_image_digest": "sha256:f711ef601b2c039c5d1593175d549cce987bcfcbfc057356507d25b14d1141a2", "environment_image_id": "sha256:f711ef601b2c039c5d1593175d549cce987bcfcbfc057356507d25b14d1141a2", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-084:v0.1.1", "gpl_family": true, "image_platform": "linux/amd64", "language": "python", "license_gate": "gpl-family", "license_source": "LICENSE", "material_licenses": ["LGPL-3.0-or-later"], "materials_provenance": "fixtures/PROVENANCE.md", "public_payload_sha256": "10df205f59e7cf7c7e6422df207e68ea5ba17619105bc2b77a5ace7cf1e5460c", "release_id": "084", "repository_url": "https://github.com/deepmodeling/dpdata", "restricted_license": true, "schema_version": 1, "source_license": "LGPL-3.0-family", "status": "dockerhub-published", "task_path": "tasks/task_084", "title": "Repair ABACUS relaxation archive/reload semantics", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-084:v0.1.1@sha256:e22e29a19f68d6cca283927bb26da82063156e070f86f32df8b06bfac15aa3f9", "verifier_image_digest": "sha256:e22e29a19f68d6cca283927bb26da82063156e070f86f32df8b06bfac15aa3f9", "verifier_image_id": "sha256:e22e29a19f68d6cca283927bb26da82063156e070f86f32df8b06bfac15aa3f9", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-084:v0.1.1"}
85
+ {"base_commit": "d4da8c5027b643291f3a6295efd4340ce79d6a36", "domain": "computational-chemistry-and-solvation", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-fortran-task-085:v0.1.1@sha256:fc28d7af99fa395f69d2e98d62fe2b3cf22befcd2c824e9aa769eaf3ac1e60d2", "environment_image_digest": "sha256:fc28d7af99fa395f69d2e98d62fe2b3cf22befcd2c824e9aa769eaf3ac1e60d2", "environment_image_id": "sha256:fc28d7af99fa395f69d2e98d62fe2b3cf22befcd2c824e9aa769eaf3ac1e60d2", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-fortran-task-085:v0.1.1", "gpl_family": true, "image_platform": "linux/amd64", "language": "fortran", "license_gate": "gpl-family", "license_source": "LICENSE", "material_licenses": ["CC-BY-SA-4.0"], "materials_provenance": "fixtures/PROVENANCE.md", "public_payload_sha256": "a946e0e51876186f7373b258d91aeffc972f3af15412bbbecc2c18872b576ff2", "release_id": "085", "repository_url": "https://github.com/dftbplus/dftbplus", "restricted_license": true, "schema_version": 1, "source_license": "LGPL-3.0-family", "status": "dockerhub-published", "task_path": "tasks/task_085", "title": "Inconsistent archived observables", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-fortran-task-085:v0.1.1@sha256:57de442f9e3510938ba8203803884f9c824a7d1f1eeee571783fdfa1431dbf56", "verifier_image_digest": "sha256:57de442f9e3510938ba8203803884f9c824a7d1f1eeee571783fdfa1431dbf56", "verifier_image_id": "sha256:57de442f9e3510938ba8203803884f9c824a7d1f1eeee571783fdfa1431dbf56", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-fortran-task-085:v0.1.1"}
86
  {"base_commit": "02b415ba8bb25244bc5e3ad970491f0fbbea0292", "domain": "atomistic-machine-learning-potentials", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-086:v0.1.0@sha256:7a54bd7e811a51abdd7571abbc03213eece0310016b174bfa52dcbe4ad171476", "environment_image_digest": "sha256:7a54bd7e811a51abdd7571abbc03213eece0310016b174bfa52dcbe4ad171476", "environment_image_id": "sha256:7a54bd7e811a51abdd7571abbc03213eece0310016b174bfa52dcbe4ad171476", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-086:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE", "public_payload_sha256": "dd83643eed59e22c0cf5fa9d29e4de990944b8add3edd5058391df75a585f537", "release_id": "086", "repository_url": "https://github.com/materialyzeai/matgl", "restricted_license": false, "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_086", "title": "Repair a silent MatGL fine-tuning incompatibility", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-086:v0.1.0@sha256:fb47312ac7443db59115807334c5d2345e3a2fb7a8f83d89bc8bfb48f7ce4bac", "verifier_image_digest": "sha256:fb47312ac7443db59115807334c5d2345e3a2fb7a8f83d89bc8bfb48f7ce4bac", "verifier_image_id": "sha256:fb47312ac7443db59115807334c5d2345e3a2fb7a8f83d89bc8bfb48f7ce4bac", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-086:v0.1.0"}
87
  {"base_commit": "ee6016ab81dd649ab40439d75212f35669302810", "domain": "diffusion-mri-denoising", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-087:v0.1.0@sha256:5a00e4d7a825618ba70259ef5c5e229f7ba2549ab7648ead6fc91fce31256793", "environment_image_digest": "sha256:5a00e4d7a825618ba70259ef5c5e229f7ba2549ab7648ead6fc91fce31256793", "environment_image_id": "sha256:5a00e4d7a825618ba70259ef5c5e229f7ba2549ab7648ead6fc91fce31256793", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-087:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE", "public_payload_sha256": "442792643e44ca3c36c70b3d63c80708e9f58b5972e5bdf43e90834720834814", "release_id": "087", "repository_url": "https://github.com/dipy/dipy", "restricted_license": false, "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_087", "title": "Repair a silent diffusion-MRI denoising inconsistency", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-087:v0.1.0@sha256:b1ce39c75913bccef5f09acfd2b989857c071fc64c7fdc0dbff092e14dc5270f", "verifier_image_digest": "sha256:b1ce39c75913bccef5f09acfd2b989857c071fc64c7fdc0dbff092e14dc5270f", "verifier_image_id": "sha256:b1ce39c75913bccef5f09acfd2b989857c071fc64c7fdc0dbff092e14dc5270f", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-087:v0.1.0"}
88
+ {"base_commit": "0b071e369a88f6672accc2a99c40d3b4b334f2f9", "domain": "boundary-aggregation", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-088:v0.1.1@sha256:f9280d74fccc2dc154eebe06728b65ab7e438fdaacbfe45254563c53ee388e8c", "environment_image_digest": "sha256:f9280d74fccc2dc154eebe06728b65ab7e438fdaacbfe45254563c53ee388e8c", "environment_image_id": "sha256:f9280d74fccc2dc154eebe06728b65ab7e438fdaacbfe45254563c53ee388e8c", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-088:v0.1.1", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE", "material_licenses": [], "materials_provenance": "", "public_payload_sha256": "5e7474f8aa8269a9d76e03f048cce31b30e91fadfa8bb5e3401d63b59c63ddbf", "release_id": "088", "repository_url": "https://github.com/pydata/xarray", "restricted_license": false, "schema_version": 1, "source_license": "Apache-2.0", "status": "dockerhub-published", "task_path": "tasks/task_088", "title": "Repair a boundary aggregation failure", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-088:v0.1.1@sha256:17b563aa055029b65891898ca6dce79e1bd4821251d6ef7eed607f2702833712", "verifier_image_digest": "sha256:17b563aa055029b65891898ca6dce79e1bd4821251d6ef7eed607f2702833712", "verifier_image_id": "sha256:17b563aa055029b65891898ca6dce79e1bd4821251d6ef7eed607f2702833712", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-088:v0.1.1"}
89
+ {"base_commit": "6ba33bdd48bf336a81400147d2870323b241e457", "domain": "computational-chemistry-spectroscopy", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-089:v0.1.1@sha256:32379f2d0e61a69bb030beecefeb55a173d3bd338f4d01399445aa6b4238a155", "environment_image_digest": "sha256:32379f2d0e61a69bb030beecefeb55a173d3bd338f4d01399445aa6b4238a155", "environment_image_id": "sha256:32379f2d0e61a69bb030beecefeb55a173d3bd338f4d01399445aa6b4238a155", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-089:v0.1.1", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE", "material_licenses": ["MIT"], "materials_provenance": "fixtures/PROVENANCE.md", "public_payload_sha256": "1aa83928a461ec6d8531b1c81d25c21cf4a8497ec1aeb7e84a6da9d7b18dd9f5", "release_id": "089", "repository_url": "https://github.com/cclib/cclib", "restricted_license": false, "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_089", "title": "Repair inconsistent ORCA excited-state oscillator strengths", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-089:v0.1.1@sha256:81bdeadb79aef5428d6c184bfe73a9c8612cd35576817b8e3b650bbd25daea9f", "verifier_image_digest": "sha256:81bdeadb79aef5428d6c184bfe73a9c8612cd35576817b8e3b650bbd25daea9f", "verifier_image_id": "sha256:81bdeadb79aef5428d6c184bfe73a9c8612cd35576817b8e3b650bbd25daea9f", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-089:v0.1.1"}
90
+ {"base_commit": "a3494234497a4507537c8fc5a89081bdb09b1954", "domain": "nuclear-magnetic-resonance-spectroscopy", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-090:v0.1.1@sha256:dac2e528dc0a2d57797793e4c9d696b73ffed938891a29bb5ecaa0e4dc2386a1", "environment_image_digest": "sha256:dac2e528dc0a2d57797793e4c9d696b73ffed938891a29bb5ecaa0e4dc2386a1", "environment_image_id": "sha256:dac2e528dc0a2d57797793e4c9d696b73ffed938891a29bb5ecaa0e4dc2386a1", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-090:v0.1.1", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE.txt", "material_licenses": [], "materials_provenance": "", "public_payload_sha256": "ede5e6decc45aef565117030438e7bdd9b8c1b0a663c92381ed7da61bae6a227", "release_id": "090", "repository_url": "https://github.com/jjhelmus/nmrglue", "restricted_license": false, "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_090", "title": "Restore multidimensional NMR acquisition grids", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-090:v0.1.1@sha256:3219d6de7809aaa4ea68f82d5f4ac1bceae44d2480a9ae20f47db039661ad8d6", "verifier_image_digest": "sha256:3219d6de7809aaa4ea68f82d5f4ac1bceae44d2480a9ae20f47db039661ad8d6", "verifier_image_id": "sha256:3219d6de7809aaa4ea68f82d5f4ac1bceae44d2480a9ae20f47db039661ad8d6", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-090:v0.1.1"}
91
  {"base_commit": "c8cfee71f3ce5d92c5b5f6ca3d363f8f3a9f4495", "domain": "materials-science-volumetric-data-semantics", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-091:v0.1.0@sha256:e99b9784d9297b360713e12ff77833dfa629f31298f504322fa3ee98dc833ed8", "environment_image_digest": "sha256:e99b9784d9297b360713e12ff77833dfa629f31298f504322fa3ee98dc833ed8", "environment_image_id": "sha256:e99b9784d9297b360713e12ff77833dfa629f31298f504322fa3ee98dc833ed8", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-091:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE", "public_payload_sha256": "ee6d2a8fa5af6c99aded10bacf8ffa2910bcb148ed68fb80707b9cebe7eb0437", "release_id": "091", "repository_url": "https://github.com/materialsproject/pymatgen-core", "restricted_license": false, "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_091", "title": "Repair a workflow regression", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-091:v0.1.0@sha256:274078dbc1df8898a9f4d704e0e833c21b54447ff33e78314d2cc6e8c2e16435", "verifier_image_digest": "sha256:274078dbc1df8898a9f4d704e0e833c21b54447ff33e78314d2cc6e8c2e16435", "verifier_image_id": "sha256:274078dbc1df8898a9f4d704e0e833c21b54447ff33e78314d2cc6e8c2e16435", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-091:v0.1.0"}
92
  {"base_commit": "1f367d55d1bac14dd6b9e0cd5746574fcfab9a59", "domain": "ai-chemistry-reaction-property-learning", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-092:v0.1.0@sha256:43ddc1b17809459d59ff0d6eaf8886368305e6164d7076d81a1660685a8dfac5", "environment_image_digest": "sha256:43ddc1b17809459d59ff0d6eaf8886368305e6164d7076d81a1660685a8dfac5", "environment_image_id": "sha256:43ddc1b17809459d59ff0d6eaf8886368305e6164d7076d81a1660685a8dfac5", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-092:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE.txt", "public_payload_sha256": "873bfddc79c4be961e1b653f28bf7718df73b74df7a12102e96a97ac64f51f07", "release_id": "092", "repository_url": "https://github.com/chemprop/chemprop", "restricted_license": false, "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_092", "title": "Repair inconsistent Chemprop reaction observations", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-092:v0.1.0@sha256:6eac8072686557e2a87b94a3600cdb5e6e1a94862c97c69cdf34a916ea0d7c83", "verifier_image_digest": "sha256:6eac8072686557e2a87b94a3600cdb5e6e1a94862c97c69cdf34a916ea0d7c83", "verifier_image_id": "sha256:6eac8072686557e2a87b94a3600cdb5e6e1a94862c97c69cdf34a916ea0d7c83", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-092:v0.1.0"}
93
  {"base_commit": "5a644e4edcc37e5c963e52fda6fab4c85b3ff02e", "domain": "medical-image-processing", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-093:v0.1.0@sha256:5a60042d49b60549e07475ed0d0f717e1ceddac7c1e7832cec4803a8c5647e6a", "environment_image_digest": "sha256:5a60042d49b60549e07475ed0d0f717e1ceddac7c1e7832cec4803a8c5647e6a", "environment_image_id": "sha256:5a60042d49b60549e07475ed0d0f717e1ceddac7c1e7832cec4803a8c5647e6a", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-093:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "github-api:LICENSE@5a644e4edcc37e5c963e52fda6fab4c85b3ff02e", "public_payload_sha256": "0756b99aa4bc899129a72159146d991cddcd1544c136b1d3e76eb47f583c1cf3", "release_id": "093", "repository_url": "https://github.com/Project-MONAI/MONAI", "restricted_license": false, "schema_version": 1, "source_license": "Apache-2.0", "status": "dockerhub-published", "task_path": "tasks/task_093", "title": "Repair a patient-space round trip in MONAI", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-093:v0.1.0@sha256:1a0872591921ff43bf480d6d6daa9e99f8f30c94d74f308337235ca21fe08e26", "verifier_image_digest": "sha256:1a0872591921ff43bf480d6d6daa9e99f8f30c94d74f308337235ca21fe08e26", "verifier_image_id": "sha256:1a0872591921ff43bf480d6d6daa9e99f8f30c94d74f308337235ca21fe08e26", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-093:v0.1.0"}