component stringclasses 1
value | task_id stringclasses 2
values | split stringclasses 1
value | domain stringclasses 2
values | configuration stringclasses 1
value | families listlengths 1 4 | source_repository stringclasses 1
value | source_revision stringclasses 1
value | source_dataset stringclasses 1
value | source_dataset_revision stringclasses 1
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value | original_task_definitions listlengths 3 3 | instance_policy stringclasses 1
value | reward stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
qefiles | qe_skill-media-d2 | train | media-content-production | Native served cell | [
"subtitles",
"timecode",
"catalogue",
"assets"
] | proffesor-for-testing/openenv-qe-arena | a570c251784f7860f7c2e18e8dce5132fe25cedc | Profa-QE/openenv-qe-arena-tasks | 29b93ada7c1b65b87e882fdacc497bfabd0ab1cf | https://github.com/proffesor-for-testing/openenv-qe-arena/tree/a570c251784f7860f7c2e18e8dce5132fe25cedc | components/qefiles/SOURCE_MANIFEST.json | [
{
"path": "components/qefiles/upstream/qe_arena/skills/__init__.py",
"sha256": "aad3eb25ce68fa70584f844e6a52ba0e75e88d9576487931430371e28f1e3609"
},
{
"path": "components/qefiles/upstream/qe_arena/skills/_common.py",
"sha256": "ec722ad0aa0903fbca443dc8325f2569853b7191edfc525602d3cd0ddaf56037"
... | Native seeded generation; omitted seed draws original randomness. | One when all original artifact checks pass, otherwise zero. |
qefiles | qe_skill-math-d4 | train | mathematics-or-formal-reasoning | Native served cell | [
"ledger"
] | proffesor-for-testing/openenv-qe-arena | a570c251784f7860f7c2e18e8dce5132fe25cedc | Profa-QE/openenv-qe-arena-tasks | 29b93ada7c1b65b87e882fdacc497bfabd0ab1cf | https://github.com/proffesor-for-testing/openenv-qe-arena/tree/a570c251784f7860f7c2e18e8dce5132fe25cedc | components/qefiles/SOURCE_MANIFEST.json | [
{
"path": "components/qefiles/upstream/qe_arena/skills/__init__.py",
"sha256": "aad3eb25ce68fa70584f844e6a52ba0e75e88d9576487931430371e28f1e3609"
},
{
"path": "components/qefiles/upstream/qe_arena/skills/_common.py",
"sha256": "ec722ad0aa0903fbca443dc8325f2569853b7191edfc525602d3cd0ddaf56037"
... | Native seeded generation; omitted seed draws original randomness. | One when all original artifact checks pass, otherwise zero. |
Original QE tasks cover subtitles, timecodes, catalogues, assets and exact rational ledger aggregation. Reward is one when all original output-artifact checks pass, otherwise zero.
Build components/qefiles/Dockerfile and run the image on port 8000. Reset with task_id set to qe_skill-media-d2 or qe_skill-math-d4; an explicit seed reproduces an instance. Actions are exec, write_file and evaluate. Use one active session per sandbox.
Code and synthetic task data are by Dragan Spiridonov, licensed under MIT. Source and SDK revisions are recorded in components/qefiles/SOURCE_MANIFEST.json; original notices are retained. Run python3 -B validate_dataset.py to verify the inventory.
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