Download bundle/README.md from earakely-scale/ParleyFromRequestComputerEnv-REA: direct link, hf CLI and curl.
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https://huggingface.co/datasets/earakely-scale/ParleyFromRequestComputerEnv-REA/resolve/main/bundle/README.md
- Command line
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hf download hf://datasets/earakely-scale/ParleyFromRequestComputerEnv-REA/bundle/README.md
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curl -L -o README.md https://huggingface.co/datasets/earakely-scale/ParleyFromRequestComputerEnv-REA/resolve/main/bundle/README.md
Parley computer app
Exported by REA's export-desktop-application from a capture of the parley package
(capture Evidence ev_2a09f0a0b4ca6e7585a0fa4ff5e1478608f94e9f58943da83c08c5a96c163d0e). It was checked against agentenv-framework
0.9.1431.
envs/parley/is a computer app on theubuntu-24.04base with thereferencedriver, foramd64andarm64. It installsparleyfrom the distribution archive, launchessh -c cd "$HOME" 2>/dev/null; exec 'parley' "$HOME"/'Documents/spanish.kvtml'at boot and is ready when a window of classparleyappears.- At launch the app opens
~/Documents/spanish.kvtml, the seed's one document. - Owned paths:
~/.config/parleyrc,~/.local/share/stalefiles/parley,~/Documents.data/getreturns their files and a typed JSON view of each;data/resetrestores the seed. - Seed: 2 file(s) made for the task, as saved at checkpoint
seed. Text files and dconf keys spell the capture host's name aslocalhost,user@hostasuser@localhostand the home as/home/user, which the computer respells to its own at boot. - Neither owned nor seeded, so the app starts without what it saved there: these files or folders, which changed
during the capture,
~/.config/QtProject.conf,~/.config/emaildefaults. To own them, capture again naming them withstate_pathsonstart_build_capture, or--state-pathoncapture-desktop-application. tasks/smoke.jsondeploys the app.
Run the task with agent-env run <this folder>, or only the deploy with --task smoke.
The seed was made for this task, not taken from a user's own data; read envs/parley/seed/ before publishing the bundle.
Task add-library-word-pair
tasks/add-library-word-pair.json deploys the app, has the agent work through the computer from the prompt below, and grades
the outcome with artifacts/add-library-word-pair-check/verify.py, which reads the app's data/get views and needs
no model. It grades once the app's files have held for 3 s, so a save the app makes on its own within that
time of the agent stopping counts; each result's settled is false when they were still changing 15 s after the
first read. evals/parley.toml names it, so a run of the bundle runs it.
In Parley, add a new word pair to my Spanish Basics vocabulary collection in Documents/spanish.kvtml: the English word "library" with the Spanish "biblioteca". Then save the collection.
Checks, each of which must pass:
pair-spanish:{"kind":"text_equals","file":"Documents/spanish.kvtml","pointer":"/root/children/[name=entries]/children/[name=entry][>translation=library]/children/[name=translation][@id=1]","value":"biblioteca","normalize_whitespace":true}pair-english:{"kind":"text_equals","file":"Documents/spanish.kvtml","pointer":"/root/children/[name=entries]/children/[name=entry][>translation=biblioteca]/children/[name=translation][@id=0]","value":"library","normalize_whitespace":true}one-more-entry:{"kind":"member_count","file":"Documents/spanish.kvtml","pointer":"/root/children/[name=entries]/children","matching":"[name=entry]","equals":7}apple-kept:{"kind":"text_equals","file":"Documents/spanish.kvtml","pointer":"/root/children/[name=entries]/children/[name=entry][>translation=apple]/children/[name=translation][@id=1]","value":"manzana"}book-kept:{"kind":"text_equals","file":"Documents/spanish.kvtml","pointer":"/root/children/[name=entries]/children/[name=entry][>translation=book]/children/[name=translation][@id=1]","value":"libro"}
REA kept the task because its checks fail on the seed (pair-spanish, pair-english, one-more-entry) and all
pass on the captured end state.
To measure a solve rate, run the task k times (3 by default) with the agent and model to measure, and count the runs
whose summary line says passed; a run that says failed did not finish and is run again rather than counted:
agent-env run <this folder> --task add-library-word-pair --agent claude-code --model MODEL