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Use public native scoring without original-machine archives - #52
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Fresh evaluation of ALFWorld, BIRD Mini-Dev, ChessBench puzzles, Jericho and ScienceWorld previously required an original-machine archive of the interpreter, standard library, shared libraries, packages and launcher. Replace that default with public scorer source and locally prepared execution dependencies. A compatible new machine can prepare from the public recipe instead of recovering every historical byte.
All five adapters now select public-native-local-v1. Metrics, native replay, task input contracts and actor/scorer separation remain in place. Scorer code runs from a private read-only snapshot with isolated Python and the selected local dependency environment. Receipts record public source identity and actual local Python, relevant SQLite, dependency versions and runtime identity. Independent local installations are admitted; local changes during a run and changed score reuse identities remain detectable.
BIRD adds an empty standard-library execution recipe, Chess adds its public chess recipe, and ALFWorld/Jericho/ScienceWorld share their existing execution recipes. The old native manifests are unchanged and only selected by explicit historical archive controls. Historical tools/docs now identify that scope rather than presenting archives as new-machine prerequisites.
Preparation: python tools/prepare_dataset.py --dataset --runtime execution --python /absolute/python3.12. No original 3.12 patch release, Python executable digest or host libc bytes are required.
Validation:
See docs/public-native-scoring.md for preparation, measurement and archival boundaries.