| # Science Desk |
|
|
| An [OpenEnv](https://github.com/meta-pytorch/OpenEnv) environment for the OpenEnv Arena, forked from |
| dnakhla's Terminal Desk v2 (Apache-2.0, see `NOTICE`). Each episode is a workspace under `/app` with a short |
| instruction. The agent runs commands (`exec`), writes files (`write_file`) and sends `evaluate`; a hidden |
| verifier checks the one output file the task names and returns 1 or 0. |
|
|
| The interface is Terminal Desk's copy of OpenEnv's upstream `tbench2_env` wrapper, which the arena operator |
| uses for its own tasks: same action and observation schema, the instruction repeated in every observation, |
| output not cut, the operator's per-task budgets. The image includes numpy, scipy and pandas. |
|
|
| ## Tasks |
|
|
| 10 natural-science families at three levels (30 task ids, `<family>-L<level>`). Higher levels add volume and |
| a caveat the agent has to find and apply. The eight new families are modelled on public SkillsBench v1.1 |
| science tasks, with their own generated data. |
|
|
| | Family | Modelled on | Output file | |
| |---|---|---| |
| | `sci_kinetics` | (Terminal Desk) | `fit.json`: first-order rate constant, half-life; Arrhenius at L3 | |
| | `sci_stoich` | (Terminal Desk) | `batch_report.json`: limiting reagent, molar mass, isolated grams | |
| | `sci_units` | lab-unit-harmonization | `harmonized.csv`: canonical units; L2 messy spellings, L3 re-runs and a QC drop | |
| | `sci_protein` | protein-expression-analysis | `top_hits.csv`: top log2 fold changes; L2 missing values, L3 sample sheet and Welch t filter | |
| | `sci_flood` | flood-risk-analysis | `flood_results.csv`: flood days per gauge; L2 missing codes, L3 m/ft thresholds | |
| | `sci_trend` | lake-warming-attribution | `trend.json`: OLS and Sen slopes; L2 monthly data, L3 Mann-Kendall Z | |
| | `sci_quake` | earthquake-plate-calculation | `answer.json`: event furthest from a boundary; L2/L3 filters, L3 lon/lat order | |
| | `sci_period` | exoplanet-detection-period | `period.json`: Lomb-Scargle period; L2 quality flags, L3 two sectors | |
| | `sci_picking` | seismic-phase-picking | `picks.json` / `picks.csv`: P (and S) arrival samples; L3 three stations | |
| | `sci_vitals` | radar-vital-signs | `vitals.json` / `vitals.csv`: breathing and heart rate; L3 three recordings | |
|
|
| `sci_period`, `sci_picking` and `sci_vitals` inputs are 9k-33k tokens: printing them overruns the context |
| budget, so the agent has to process them with a script. |
|
|
| ## Reward |
|
|
| Binary, on `evaluate`: 1.0 when the output file exists and every check passes (exact key set or header, every |
| row, stated tolerances), else 0.0. `close` ends the episode without a reward. After 32 calls the environment |
| evaluates on its own. No partial credit. |
|
|
| ## Instances and isolation |
|
|
| Each task id builds one fixed instance (seeded from the id), so a GRPO group of rollouts compares answers to |
| the same problem; `<family>-L<level>-i<k>` names further fixed instances. The server runs as root outside |
| `/app`; `exec` and `write_file` run as `nobody` with CPU, memory, file-size and process limits, cannot read |
| the server tree, and every `nobody` process is killed after each action and before verification. Expected |
| outputs live only in server memory; the verifier refuses symlinks, FIFOs and oversized files. |
|
|
| ## Build and test |
|
|
| ```sh |
| python3 -m venv .venv && .venv/bin/pip install vendor/openenv-0.6.1.dev0-py3-none-any.whl pytest websockets httpx numpy scipy |
| PYTHONPATH=. .venv/bin/pytest -q tests # oracle = 1, corrupt = 0, schema, independent solvers |
| PYTHONPATH=. .venv/bin/python tools/check_family.py # per family: oracle 1, corrupt 0, empty 0 |
| DOCKER_DEFAULT_PLATFORM=linux/amd64 docker build -t ghcr.io/syndicate604/science-desk:v5 . |
| bash tools/pool.sh up ghcr.io/syndicate604/science-desk:v5 8 |
| .venv/bin/openenv validate --url http://localhost:18001 |
| .venv/bin/python tools/replay.py http://localhost:18001 # every task over WebSocket |
| ``` |
|
|
| `tools/calibrate.py` plays Qwen3.8-27B through OpenRouter under the arena's token budgets, with a hard spend |
| cap (`--budget`). Screens have underestimated the arena model, so treat them as sanity checks only. |
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|
