Add Spiral-Bench synthetic training environment#1334
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Validation evidence for the Spiral-Bench bounty PR:
The sample dataset is generated from local deterministic templates ( |
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Summary
spiral_benchenvironment inspired by Spiral-Bench safety conversationsquestion,answer, andinfofieldsBounty
Validation
uv run pytest tests/test_spiral_bench_environment.py -quv run ruff check environments/spiral_bench tests/test_spiral_bench_environment.pyuv run ruff format --check environments/spiral_bench tests/test_spiral_bench_environment.pygit diff --checkNote
Low Risk
Low risk: the PR primarily adds a new standalone environment package, sample data, and tests, without changing shared runtime logic; main risk is limited to correctness of the new judge-based reward parsing/scaling.
Overview
Adds a new
spiral_benchsingle-turn environment with a judge-scored 0–10 safety rubric, including dataset loading (build_dataset) and a normalized reward function wired intovf.SingleTurnEnv.Includes a deterministic synthetic prompt generator and commits a 64-row JSONL sample dataset, plus docs and packaging (
pyproject.toml) so the environment can be installed and regenerated. Updatesenvironments/README.mdto listspiral_bench, and adds targeted tests covering generator determinism/limits, dataset loading, and thatload_environment()constructs without requiring an API key.Reviewed by Cursor Bugbot for commit 0b9b606. Bugbot is set up for automated code reviews on this repo. Configure here.