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{
"suite": "dexhand",
"task": "essential_two_object",
"family": "essential_two_object",
"source": "oracle",
"renderer": "Blender 4.5.3 LTS Cycles path tracing, OptiX on an RTX 4090, adaptive sampling (threshold 0.01, 64-192 spp), OpenImageDenoise with albedo and normal passes, AgX Medium High Contrast; studio floor, key/top/rim area lights and a dim sky dome; render 2560x1440; every frame is the exact pose sample recorded from the task's own replay.py (MuJoCo 3.4.0, 120 Hz simulated-time grid, nearest sample, no interpolation)",
"rendering": "path-tracing",
"width": 2560,
"height": 1440,
"fps": 30,
"frames": 320,
"duration_s": 10.667,
"speed": 1,
"success_check": true,
"success_check_how": "verdict of the task's own tests/replay.py (the verifier's replay: fresh Session, frozen instance, fail-fast checks every physics substep) run on the oracle archive written by solution/oracle.py in the pinned grader image while the poses were recorded: success=True, reason='success'; a second, unrecorded replay in a fresh process ended in the same state hash",
"replay": {
"hand": "sharpa",
"n_actions": 408,
"sim_steps": 408,
"physics_steps": 4080,
"sim_time_s": 8.16,
"state_sha": "64d049dbd9b7f3459a4dd7be1b404ea442b35e7bccdabf1ae4bdeabf371448eb",
"state_sha_unrecorded_replay": "64d049dbd9b7f3459a4dd7be1b404ea442b35e7bccdabf1ae4bdeabf371448eb",
"trajectory_sha256": "2fabf90c2175cc51e6444734262c141ff01a2809b319895c101a0b1c867fc0fe",
"task_dir": "tasks/dexhand-essential-two-object-i00-privileged"
},
"holds": {
"start_s": 1.0,
"end_s": 1.5,
"note": "first and last recorded states held; the camera keeps moving, no extra simulation"
},
"camera": {
"az_deg": -136,
"el_deg": 34,
"lens_mm": 50,
"orbit_deg": 10.0,
"fill": 0.72,
"target": [
0.0186,
-0.0562,
0.2309
],
"distance_m": 1.1969
},
"poster_frame": 319,
"image": "eai-dexhand:0.2.0@sha256:0d42994b83d95ab5301c592b35586550c9ee426490115e4b43f3b8cf8cc43350",
"created": "2026-10-17T00:21:42Z"
}