Datasets:
Download masters/robopaint/teaser_meta.json from MLL-Lab/embodied-exam-data: direct link, hf CLI and curl.
- Browser
- Download file 3.15 kB
-
https://huggingface.co/datasets/MLL-Lab/embodied-exam-data/resolve/main/masters/robopaint/teaser_meta.json
- Command line
-
hf download hf://datasets/MLL-Lab/embodied-exam-data/masters/robopaint/teaser_meta.json
-
curl -L -o teaser_meta.json https://huggingface.co/datasets/MLL-Lab/embodied-exam-data/resolve/main/masters/robopaint/teaser_meta.json
3.15 kB
| { | |
| "suite": "robopaint", | |
| "task": "oil_starrynight_i01", | |
| "source": "oracle", | |
| "kind": "teaser", | |
| "renderer": "SAPIEN 3.0.3 'rt' ray-tracing shader pack (ManiSkill 3.0.1), spp=128, path_depth=8, denoiser=optix (OptiX), rendered natively at 2560x1440; one soft area light + ambient, dark board", | |
| "rendering": "ray-tracing", | |
| "width": 2560, | |
| "height": 1440, | |
| "fps": 30, | |
| "frames": 765, | |
| "frames_painting": 660, | |
| "duration_s": 25.5, | |
| "speed": 119.21, | |
| "speed_note": "average simulated seconds per video second; the time-lapse is path-uniform (equal inked-path length per frame), not constant-speed", | |
| "time_lapse": "path-uniform: one frame per 1/660 of the inked path (20205 mm), none during travel or dips; 0.5 s hold on the bare sheet, a short arm-retreat tail, 2.5 s hold on the finished painting", | |
| "sim_seconds": 3039.8, | |
| "control_steps": 60797, | |
| "strokes": 1682, | |
| "seconds_per_frame": 0.6269, | |
| "render_wall_s": 488.6, | |
| "success_check": true, | |
| "success_check_how": "the reference solution (solution/oracle_qpos.npy, as solution/oracle_paint.py replays it) was written to a trajectory.npz and graded by the task's own verifier, tests/grade.py --repeat 2 (two fresh replay processes with tests/rcb_brush_strict.py on the graders' frozen tests/instance.json; only its optional replay video was switched off): success=1 deterministic=1 instance_ok=1 final_reward=0.70468. The un-rendered replay with the same tooling scored success=1.0; the rendered replay (same tooling and instance, physics untouched: only a camera, lights and materials added) scored success=1.0 on its own final state, and its state hash c0dc305b6a9d0ba9 and main-sheet canvas equal the un-rendered replay's (True, True)", | |
| "checks": { | |
| "verifier_success": true, | |
| "verifier_deterministic": true, | |
| "verifier_instance_ok": true, | |
| "passA_success": true, | |
| "passA_instance_exact": true, | |
| "render_success": true, | |
| "render_state_sha_equals_passA": true, | |
| "render_canvas_equals_passA": true, | |
| "render_instance_exact": true | |
| }, | |
| "verifier_reward": { | |
| "success": 1, | |
| "final_reward": 0.70468, | |
| "deterministic": 1, | |
| "instance_ok": 1, | |
| "instance_exact": 1, | |
| "strict_ok": 1.0, | |
| "image_success": 1.0, | |
| "path_mm": 20746.89, | |
| "n_strokes": 1682.0, | |
| "n_actions": 60797, | |
| "de_mean": 5.9064, | |
| "ssim_L": 0.720901, | |
| "paint_iou": 0.999741, | |
| "iou": null | |
| }, | |
| "state_sha": "c0dc305b6a9d0ba9", | |
| "task_dir": "the exam's task repository@d43e2ae4b:tasks/robopaint-oil-starrynight-i01-privileged", | |
| "image": "eai-robopaint:0.2.0 (manifest sha256:f7f925094d394989362051da1605edb4f23645732064f93e9726d704c89deb12, config sha256:0d047bf5fdc70613396b4074c1339d39c44c522c46f44a7b5f5b0bc80cfd9353)", | |
| "created": "2026-10-16T01:40:47-05:00", | |
| "encode": "libx264 High yuv420p CRF 16 preset slow, 30 fps constant, bt709, faststart", | |
| "files": { | |
| "teaser.mp4": { | |
| "codec": "h264", | |
| "profile": "High", | |
| "pix_fmt": "yuv420p", | |
| "width": 2560, | |
| "height": 1440, | |
| "r_frame_rate": "30/1", | |
| "frames": 765, | |
| "duration": 25.5, | |
| "size": 19474646 | |
| } | |
| }, | |
| "camera": "keyframe path start -> ground -> forms -> pull-back -> end (whole arm), cubic Hermite easing over the painting frames" | |
| } |