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MAINT: Light refactor of Aegis AI content safety dataset for consistency #3991

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MAINT: Light refactor of Aegis AI content safety dataset for consistency

MAINT: Light refactor of Aegis AI content safety dataset for consistency #3991

Triggered via pull request June 10, 2026 13:43
@romanlutzromanlutz
synchronize #1976
fdubut:aegis_dataset
Status Success
Total duration 17m 31s
Artifacts 4

docker_build.yml

on: pull_request
Build Devcontainer
3m 8s
Build Devcontainer
Build Production (local)
7m 40s
Build Production (local)
Build Production (PyPI)
0s
Build Production (PyPI)
Test Import (local)
3m 13s
Test Import (local)
Test GUI (local)
2m 26s
Test GUI (local)
Test Jupyter (local)
2m 48s
Test Jupyter (local)
Test Import (PyPI)
0s
Test Import (PyPI)
Test GUI (PyPI)
0s
Test GUI (PyPI)
Test Jupyter (PyPI)
0s
Test Jupyter (PyPI)
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Artifacts

Produced during runtime
Name Size Digest
devcontainer-image Expired
782 MB
sha256:28c2b593c7979679336293a5d9fc9b53899c984e900b399ab9a9726cee38b704
microsoft~PyRIT~5MLSHN.dockerbuild
50.4 KB
sha256:794fd3943d573e83400035099e4de14adb1c6a939dc9d7e4a9756ca5e866ce59
microsoft~PyRIT~O8HQSK.dockerbuild
44.8 KB
sha256:108fad23840b2c6b248594d9a1093e8790485266b7b75c43e7aaf3763091c3da
production-local-image Expired
1.64 GB
sha256:187b305b5163185ae063d6a46fd97d62be6697d1b0cdc0e2ba489a4a1b9a45e5