web-benchmark · map_sep13 agent runs
Browser-agent runs on the Map Arena site, collected while building the map_sep13 task set
(2026-09-14 to 2026-09-16). One row per run, with the task it attempted, the agent's answer, the
grader verdict, and the full step-by-step trajectory.
- Agent: browser-use, model
openai/gpt-5.6-solvia OpenRouter, max 30 steps - Runs: 311 (runs voided because the API ran out of credits, or because a task wording could not be graded, are excluded)
- Tasks referenced: 296
- Screenshots are not included.
Files
| file | one row per | contents |
|---|---|---|
map_sep13/runs.jsonl |
run | task id, level, template, intent, answer, verdict, per-check results, timings, tokens, cost, and trajectory: every step's thinking, evaluation, memory, next goal, actions, results, URL, and site clock time |
map_sep13/conversations.jsonl |
run | llm_conversation: the full text sent to the model at each step (system prompt, agent state, browser state) |
map_sep13/tasks.jsonl |
task | intent, answer checks (eval), and task metadata |
Join the three on task_id; join runs and conversations on run_id.
Levels
- L1: time-independent lookups, including Street View.
- L2: answer only after an event happens.
- L3: answer before a deadline.
- L4: answer within an interval after an event.
"Route A" tasks run the site clock 6x faster with whole-minute ETAs; "route B" tasks run at 1x with per-second ETAs.
| level | runs | passed | pass rate |
|---|---|---|---|
| L1 | 105 | 49 | 47% |
| L2 | 75 | 21 | 28% |
| L3 | 70 | 26 | 37% |
| L4 | 61 | 24 | 39% |
These are pass rates over the runs in this file, not over the final task set: pilots and reruns are included.
Batches
| batch | runs |
|---|---|
| L2 pilot, first run | 14 |
| L2 pilot, clean baseline | 14 |
| L3 pilot (latest ETA) | 2 |
| L3/L4 pilot batch | 24 |
| map_sep13 half sample | 124 |
| map_sep13 remaining half | 111 |
| street-view fix rerun | 13 |
| street-view navigation-hint rerun | 9 |
Verdicts
passed is the verdict recorded at run time. passed_under_current_task_definition re-grades the same answer
with the current task definition at the moment the agent submitted (null where the task was later deleted).
They differ for 3 runs:
- run 106
map_l2_19150: recorded fail, pass under the current definition - run 226
map_l1_20052: recorded fail, pass under the current definition - run 432
map_l1_20017: recorded fail, pass under the current definition
Run 106 was originally graded against a clock read after the browser closed; the other two belong to Street View tasks whose answer checks were corrected after the run (see below).
Known issues in the source tasks
- Street View outside New York. 514 of the 533 panoramas are genuine New York imagery. The rest are single photos taken elsewhere (Indonesia, Copenhagen, an Alpine forest) placed at US city coordinates. Tasks that required the city name were changed on 2026-09-16 to grade only the photo content, and tasks that said "a Chicago dot" were pinned to one panorama's coordinates.
- Brief events. Some route-B gap/lead tasks have a condition that holds for only a few seconds before reverting.
They were kept deliberately (the page re-prices every second, so the condition is visible), but failures on them
partly reflect chance. Their task metadata carries
brief_event. - Tight L3 windows. In several L3 "latest value" tasks the gap between the scheduled ETA change and the deadline is shorter than the agent's median read-then-submit time (about 17 s).
- Six passed L2 pilot tasks were deleted from the task set; their
tasks.jsonlrows are recovered from the run conversations and have no answer checks.
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