Chop an Onion¶
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
Not in this run: not among the 30 chosen for the first round (2026-09-26): mostly particles, cutting and liquids, or long tidy-ups like chosen ones
Task instruction (upstream)
In the kitchen, take the Vidalia onion out of the sink, dice it on the chopping board with the paring knife, put the diced onion into the bowl on the countertop, then place both the paring knife and the chopping board into the sink.
Measured on the stack we run — BEHAVIOR-1K v3.9.2 / OmniGibson 3.9.2 / Isaac Sim 5.1
| Goal predicates | contains inside real |
| Goal clauses | 4 |
| Objects named in the goal | bowl.n.01 chopping_board.n.01 diced__vidalia_onion.n.01 parer.n.02 sink.n.01 |
| Objects in the problem | 9 in 9 categories |
| Rooms loaded | corridor_0 garden_0 kitchen_0 living_room_0 |
| Demonstrations | 200 teleoperated episodes |
| Mean episode | 3m 33s (6,400 control steps at 30 Hz) |
| Base travel, mean | 17.0 m |
| Gripper travel, mean | left 6.37 m · right 11.05 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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