Datasets:
File size: 3,394 Bytes
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"suite": "abc-sim",
"task": "count_two",
"task_dir": "abc-sim-count-two-i00-privileged",
"source": "agent-success:codex-gpt6_luna-xhigh-abc-sim-count-two-i00-privileged/abc-sim-count-two-i00-privileged__hjJa4h2",
"agent": "codex + GPT-6 Luna (xhigh)",
"run": "codex-gpt6_luna-xhigh",
"mode": "privileged",
"trial": "codex-gpt6_luna-xhigh-abc-sim-count-two-i00-privileged/abc-sim-count-two-i00-privileged__hjJa4h2",
"trial_choice": "GPT-6 Luna's counted success; privileged before standard (a privileged trial is the submitted trajectory, replayed after the run)",
"renderer": "Blender 4.5.3 LTS Cycles path tracing (GPU OptiX), adaptive sampling (threshold 0.01, 64-128 spp), OpenImageDenoise with albedo + normal passes; kinematic playback of the exact MuJoCo replay poses (MuJoCo's own compiled meshes, primitives, colours and UV textures); seamless studio floor (cyclorama), one large soft key area light, a weak overhead softbox, a rim light, a dim sky dome (Poly Haven studio_small_09 HDRI, CC0); AgX view transform, Medium High Contrast look; fixed 3/4 camera with a slow eased 10-degree orbit; native 2560x1440",
"rendering": "path-tracing",
"media_standard": "v2 (2026-10-16)",
"width": 2560,
"height": 1440,
"fps": 30,
"frames": 448,
"seconds": 14.93,
"speed": 1.0,
"success_check": true,
"success_check_how": "privileged trial: the submitted trajectory (trajectory.npz) replayed from the task's frozen instance with the task's own tooling (rcb_abc.Session, as tests' grade.py replays it): success by the task's rule (upstream's evaluator held 30 control steps), the end-state hash equals both grading replays' hash (1d0fc8f13afd69fa), and a second plain replay in a fresh session (Session.replay) ends in the same hash",
"end_check": {
"success": true,
"rule": "event",
"reason": "success",
"steps": 379,
"success_run": 30,
"hold_steps": 30
},
"replay": {
"control_hz": 29.4118,
"control_dt_s": 0.034,
"n_actions": 379,
"control_steps_replayed": 379,
"sim_time_s": 12.886,
"frames_every_control_steps": 0.9804,
"final_state_sha": "1d0fc8f13afd69fa",
"plain_replay_state_sha": "1d0fc8f13afd69fa",
"replays_agree": true,
"instance_sha": "5099066e29874d64",
"init_sha": "5099066e29874d64",
"instance_ok": true,
"state_hashes_every_control_steps": 1000,
"trajectory_sha256": "535dcc951ef08cddca38241fedd73d9634446ddb98c461207c0f59aab4532cfe",
"mujoco": "3.6.0",
"recorded_grader_state_sha": "1d0fc8f13afd69fa"
},
"visual_changes": [
"studio floor and cove instead of MuJoCo's floor and the booth's three walls",
"the overhead camera gate (bar and camera) not drawn",
"the table top drawn as a solid light-wood block down to the floor, extended under the arms' base mounts (top face unchanged; the scene's table is a thin white slab)"
],
"camera": {
"mode": "fixed",
"frames_on": "both arms and every object on the table",
"az_deg": 35.0,
"el_deg": 32.0,
"fovy_deg": 34.0,
"fill": 0.8,
"target": [
0.452,
0.0334,
0.9174
],
"distance_m": 1.6136,
"orbit_deg": 10.0
},
"holds": {
"start_s": 0.5,
"end_s": 1.5,
"note": "first / last frame held, no extra simulation"
},
"image": "efe:abc-sim-0.1.0",
"encode": "libx264 preset slow CRF 16, yuv420p, bt709, faststart",
"poster": "last frame (solved state)",
"seconds_per_frame": 3.04,
"created": "2026-10-31T05:38:11-0500"
} |