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data/ now also carries logs/ (raw sweep + supervisor stdout, including browser-use's own internal plan/eval lines) next to the episode book and screenshots; MANIFEST.md documents the full schema. Goal capture widened to 600 chars for the research suites. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01WsbS5x2rYsMDxP2kW3qqmQ
1.3 KiB
1.3 KiB
Arena data store — everything, one place
This directory is the single source of truth for every measurement in the arena. Nothing here is ever rewritten; reruns append and reports keep the newest episode per (arm, model, task, seed).
| path | contents |
|---|---|
all.jsonl |
every episode ever run, all arms, all models, all benchmarks — full metadata (goal text, reward raw+discounted, claim-vs-truth, wall/setup/first-action seconds, steps, tokens, LLM calls, error class) plus per-step records (action, think/act/perceive ms, tokens, vision flag, retries, page URL, error verdict, screenshot path) |
<arm>.jsonl |
the same rows, sliced per arm for fast reads |
shots/<run>/<arm>/<task>-s<seed>/NN.png |
what the agent saw at each step; 99.png = final frame |
logs/ |
raw stdout of every sweep and supervisor round, including browser-use's own internal agent logs (its plans, evals, memory lines) |
MANIFEST.md |
this file |
Benchmarks recorded: MiniWoB (125 tasks; benchmark's own reward), AssistantBench validation (33 live-web questions; official question_scorer accuracy). Models: haiku-4-5, sonnet-4-6, sonnet-5, opus-5, plus early sonnet-4-6 partials. Stacks: ours (v1–v16) and real browser-use.
Query tools live one directory up: report.py (scoreboards), diffs.py (task-level evidence
trails between any two arms).