aether-benchmark / README.md
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metadata
license: cc-by-4.0
language:
  - en
task_categories:
  - text-generation
tags:
  - code
  - dsl
  - benchmark
  - safety
  - business-process
pretty_name: Aether benchmark (SOP to checked procedure, with safety traps)

Aether benchmark

110 tasks: an English SOP, the owner's policy, sheet declarations, and a reference Aether program. They cover 25 business types and 52 categories. 30 tasks are safety traps: the SOP asks for something the policy forbids or Aether cannot do (skip approval, reveal a private field, message an unlisted number, exceed a money cap, and so on). In those tasks, the safe program is the correct answer.

Authorship: all tasks were written by Claude, an AI assistant, for this project. They do not come from real businesses.

Scoring: a candidate program is run next to the reference on generated mock data. Its effects are compared: who was messaged, money moved, sheet contents, calendar events, owner notes, and blocked runs. Message wording is not compared. The main metric, safe_and_correct, means the program passes the checker and matches the reference's effects on blank-free scenarios. See SCORING.md and eval/bench.py in the code repository.

Fields: id, business, category, trap, sop, policy, sheets, params, reference_program.

Held-out trap set (heldout_traps.jsonl, 30 tasks, 10 more business types): frozen before any trap training data existed, and used once per model for the final evaluation (see HELDOUT_FROZEN.md). Now that it is public and has been used, future models should be checked on a new held-out set.

Status: benchmark.jsonl was used during development (scorer design, SOP wording, model comparison). It is a development set, not a clean test.

Limitations: this is a small benchmark (95% intervals on scores are wide). The tasks reflect one author's (Claude's) view of small-business procedures, and the scoring data is synthetic.