Datasets:
Download masters/labutopia/shake/meta.json from MLL-Lab/embodied-exam-data: direct link, hf CLI and curl.
- Browser
- Download file 2.91 kB
-
https://huggingface.co/datasets/MLL-Lab/embodied-exam-data/resolve/main/masters/labutopia/shake/meta.json
- Command line
-
hf download hf://datasets/MLL-Lab/embodied-exam-data/masters/labutopia/shake/meta.json
-
curl -L -o meta.json https://huggingface.co/datasets/MLL-Lab/embodied-exam-data/resolve/main/masters/labutopia/shake/meta.json
2.91 kB
| { | |
| "suite": "labutopia", | |
| "task": "shake", | |
| "task_dir": "labutopia-shake-i00-privileged", | |
| "source": "agent-success:codex-gpt6_luna-xhigh-labutopia-shake-i00-privileged/labutopia-shake-i00-privileged__3nBAUam", | |
| "agent": "codex + GPT-6 Luna (xhigh)", | |
| "run": "codex-gpt6_luna-xhigh", | |
| "mode": "privileged", | |
| "trial": "codex-gpt6_luna-xhigh-labutopia-shake-i00-privileged/labutopia-shake-i00-privileged__3nBAUam", | |
| "trial_choice": "only GPT-6 Luna solved this task (counted success); by the owner's decision (2026-10-23) its privileged trial is shown instead of the reference solution", | |
| "renderer": "isaac-rtx PathTracing spp=32 (totalSpp=32) denoiser=optix maxBounces=6 fireflyFilter=on; rendered natively at 2560x1440 (tonemap filmIso 50, the bright lab_003 room) from a dedicated USD render camera (none of LabUtopia's observation cameras); Isaac Sim 6.1.0 / LabUtopia @ 8df7278", | |
| "rendering": "path-tracing", | |
| "media_standard": "v2 (2026-10-16)", | |
| "width": 2560, | |
| "height": 1440, | |
| "fps": 30, | |
| "frames": 533, | |
| "seconds": 17.77, | |
| "speed": 1.0, | |
| "success_check": true, | |
| "success_check_how": "the task's own rule (rcb_labutopia Session.status() success) at the end of this render's own Session.replay() of the trial's submitted trajectory (a fresh process: LabUtopia's scene and reset with the instance's seed, CPU PhysX, one row per 1/60 s control step until the rule ended the episode, frozen tests/instance.json), as tests/grade.py replays; the end-state hash equals the grader's recorded state_sha (verifier grade.log, both grading replays) and a separate plain replay with the tooling's own CLI (rcb_labutopia.py replay, fresh process, no renderer)", | |
| "end_check": { | |
| "success": true, | |
| "rule": "first", | |
| "reason": "success", | |
| "score": 1.0, | |
| "sim_time_s": 15.716667 | |
| }, | |
| "replay": { | |
| "trajectory_sha256": "78fd7611581fe479df5a2b18e3cfb54d2b1377372f060a45bd546f89aa13ad70", | |
| "n_actions": 943, | |
| "control_steps": 943, | |
| "recorded_grader_steps": 943, | |
| "control_hz": 60, | |
| "every_control_steps": 2, | |
| "reason": "success", | |
| "state_sha": "dd4bb31f53883ffd", | |
| "recorded_grader_state_sha": "dd4bb31f53883ffd", | |
| "matches_recorded_grader": true, | |
| "cli_replay_state_sha": "dd4bb31f53883ffd", | |
| "matches_cli_replay": true, | |
| "instance_ok": true, | |
| "start_exact": true, | |
| "trajectory": "artifacts/app/output/trajectory.npz (the trial's submitted trajectory)" | |
| }, | |
| "camera": { | |
| "mode": "fixed", | |
| "position": [ | |
| -1.1822, | |
| -1.4112, | |
| 2.6329 | |
| ], | |
| "target": [ | |
| -0.1021, | |
| 0.1314, | |
| 1.1617 | |
| ], | |
| "focal_mm": 35.0, | |
| "h_aperture_mm": 36.0 | |
| }, | |
| "holds": { | |
| "start_s": 0.5, | |
| "end_s": 1.5, | |
| "note": "first and last rendered states held (frames cloned), no extra simulation" | |
| }, | |
| "poster": "last frame (solved state)", | |
| "seconds_per_frame": 6.813, | |
| "image": "efe-private:labutopia-0.1.0", | |
| "encode": "libx264 preset slow CRF 16, yuv420p, bt709, faststart", | |
| "created": "2026-10-23T10:15:30+0000" | |
| } |