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Store Produce

pendingmediumrestaurant_dinerKitchen5m 16sunowned

Agent runs

Each mode of this task runs once per run. Est. cost is tokens at list price (data/prices.yml), never a bill; see the BEHAVIOR-1K runs for every task of a run.

Codex + GPT-6 Luna, reasoning xhigh (ChatGPT login)default run

TrialStartedAgent timeModel requestsTokens in / outEst. costGrade
U✗ 4h 00m 0%09-27 07:334h 00m40347.7M / 295k$0.709grader_error 0, missing_trajectory 1
L✗ 4h 00m 0%09-27 11:364h 00m981121.5M / 338k$1.53deterministic 1, grader_error 0, live_success 0, n_actions 10878, replay_success 0, video_rendered 1

No instruction published upstream

The 2025 carryover tasks ship without instruction text. Watch the demo and write the goal in your own words below, clearly marked as a reconstruction rather than the official goal.

Measured on the stack we run — BEHAVIOR-1K v3.9.2 / OmniGibson 3.9.2 / Isaac Sim 5.1
Goal predicates inside
Quantifiers exists forall
Goal clauses 1
Objects named in the goal electric_refrigerator.n.01 mango.n.02 pomegranate.n.02
Objects in the problem 9 in 6 categories
Rooms loaded kitchen_0
Demonstrations 200 teleoperated episodes
Mean episode 5m 17s (9,522 control steps at 30 Hz)
Base travel, mean 26.53 m
Gripper travel, mean left 18.96 m · right 22.6 m
Evaluation instances 20 public test instances (ids 301–320)

Read from BDDL activity definitions + 2026-challenge-task-instances (licensed download), 2026-09-21.

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Why this task is interesting

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Oracle demo review

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