metadata
license: bsd-3-clause
pretty_name: Eval-rules desk (OpenEnv)
tags:
- openenv
- reinforcement-learning
- agents
- tool-use
configs:
- config_name: tasks
data_files:
- split: train
path: data/tasks.jsonl
Eval-rules desk (Workbench v9.1)
An OpenEnv environment for OpenEnv Arena. It trains the survival habits that, in our local proxy of the hidden test, decided whether an episode ever reached an answer:
- one clean JSON object per turn
- small observations
- short scripts
- write the output early, then submit
The tasks are served under the hidden test's published rules.
- Source: https://github.com/moarshy/workbench (
server/evalrules_environment.py) - Image:
ghcr.io/moarshy/workbench@sha256:1ac8bdb927b007bed9bb8db1c4979ee115c6d23f5bd7435ca3d31915406830a1 - Design, calibration and pre-registration: https://github.com/moarshy/openenv-arena-notes/blob/main/versions/v9-eval-rules-desk.md
- Day-0 proxy: 23 public SkillsBench tasks, untrained Qwen3.8-27B. 0/91 episodes reached submit; 48 died on invalid replies and 35 on the budget. https://github.com/moarshy/openenv-arena-notes/blob/main/research/2026-10-18-day0-proxy-eval.md
Interface
Field for field the organizers' PostTrain adapter: {type: run_bash | submit | finalize, command, answer}.
- Output is cut to the first 8,192 characters.
- The workspace is
/root. - The first observation is the instruction only.
- Budgets: 8,192 completion tokens (counting observations), 16,384 context, 128 tool calls.
Tasks (9, v9.1)
loans-lite/easy/medium (finance), expenses-lite/medium (office), downtime-medium and reflow-hard (industrial), pyrepo-bug1 and repair-medium (software).
- Data arrives as real .xlsx workbooks and .pdf documents where a SkillsBench task would use them.
- v9.1 swaps the three tasks that showed no reward spread in v9 training (loans-hard, expenses-easy, pyrepo-implement) for smaller lite levels of the finance and office tasks.
Reward
task_score = share of checks passed, 0 if a protected check fails (schema, inputs unchanged, regressions)
reward = 0.85*task_score + 0.15*(submitted, if task_score >= 0.5) + 0.02*valid actions (max 5) - 0.05*repeated turns (max 0.2)
The reward is clipped to [0, 1].
Licences
Vendored libraries keep their own licences: toolz and boltons are BSD-3-Clause, tabulate and inflection are MIT.