Datasets:
roboolympics-fun masters: high_jump re-rendered from its 1e4fb6bf44 formal Astra result (board 0252)
Browse files
masters/roboolympics-fun/high_jump/meta.json
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{
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"suite": "roboolympics-fun",
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"task": "high_jump",
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"family": "high-jump",
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"task_dir": "embodied-olympics-fun-high-jump-i00-privileged",
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"task_version": "JamesKrW/embodied-first-exam@1e4fb6bf44",
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"source": "agent-success:codex-gpt6_astra-high-embodied-olympics-fun-high-jump-i00-privileged/embodied-olympics-fun-high-jump__D6JwKzP",
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"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 and colours); daylight: a sun lamp (2 degree disc) and a Nishita sky (no sun disc), the venue's own ground colour on a large ground plane with a faint world-space variation; AgX view transform, Medium High Contrast look; a tracking camera (per-frame fit of the robot and the object in play, smoothed in time, zooming out early) with a slow eased 10.0-degree orbit",
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"rendering": "path-tracing",
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"width": 2560,
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"height": 1440,
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"fps": 30,
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"frames": 707,
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"seconds": 23.57,
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"speed": 0.9,
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"success_check": true,
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"success_check_how": "the task's own verdict (tests/rcb_rfo.py Episode.verdict(), the referee) at the end of this re-render's own replay of every recorded row from the task's frozen instance on the new task version; a second plain replay with the task's own replay() agrees and ends in the same final state hash (a8f40abcd6d62d96)",
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"end_check": {
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"success": true,
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"stages": [
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"take-off",
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"clearance",
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"bar stays"
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],
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"stages_total": 3,
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"progress": 1.0,
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"metrics": {
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"air_s": 0.629,
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"rise_m": 0.367
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},
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"time_s": 19.36,
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"failed": null
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},
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"replay_hash_check": {
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"how": "the trial's trajectory replayed with the task's own `rcb_rfo.py replay`, twice in the verifier image of the version it was graded on (which is this master's version); both end-state hashes equal, and the verdict, steps, progress, stages and metrics equal the recorded reward.json",
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"graded_on": "1e4fb6bf44 (files 0.3.3; the same version as this master, so the two replays in it are the whole check)",
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"final_state_sha": "a8f40abcd6d62d962da8de1bcd50fcc6c1d5bcfe1ab50ef23a4e3573b9dde15d",
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"steps": 1936,
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"pass": true
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},
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"replay": {
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"trajectory": "codex-gpt6_astra-high-embodied-olympics-fun-high-jump-i00-privileged/embodied-olympics-fun-high-jump__D6JwKzP/artifacts/app/output/trajectory.npz",
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"n_actions": 1936,
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"control_steps_replayed": 1936,
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"control_hz": 100.0,
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"every_control_steps": 3,
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"final_state_sha": "a8f40abcd6d62d962da8de1bcd50fcc6c1d5bcfe1ab50ef23a4e3573b9dde15d",
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"original_verdict": "counted success (verifier reward 1)"
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},
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"visual_changes": [
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"daylight sky and a plain ground plane instead of the venue's painted sky, hills, trees, grandstands and perimeter boards (drawn-only scenery, geoms named rfo_*)"
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],
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"camera": {
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"mode": "director",
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"az_deg": -70.02,
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"az_rule": "robot-travel-70",
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"el_deg": 22.0,
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"fovy_deg": 34.0,
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"fill": 0.72,
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"distance_m": [
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3.262,
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4.873
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],
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"robot_root": "pelvis",
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"travel_m": 8.931,
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"focus": {
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"robot": 647
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},
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"objects": {}
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},
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"orbit_deg": 10.0,
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"holds": {
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"start_frames": 15,
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"end_frames": 45,
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"start_s": 0.5,
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"end_s": 1.5,
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"note": "first/last frame held, no extra simulation"
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},
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"seconds_per_frame": 2.52,
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"image": "ghcr.io/mll-lab-nu/efe:embodied-olympics-fun-0.2.1 + embodied-olympics-fun-files-0.3.3 (the task's tests/ verifier image)",
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"agent": "codex + GPT-6 Astra (high)",
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"run": "codex-gpt6_astra-high",
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"mode": "privileged",
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"trial_choice": "a counted GPT-6 Astra success: its formal privileged result on this task version (the quick check of 1e4fb6bf44, reviewed and promoted)",
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"poster": "frame 567 (same scene, camera and settings as the video)",
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"encode": "libx264 preset slow CRF 16, yuv420p, bt709, +faststart",
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"created": "2026-10-24T23:24:49-0500"
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}
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masters/roboolympics-fun/high_jump/poster.png
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Git LFS Details
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masters/roboolympics-fun/high_jump/video.mp4
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:dae6d59a0aaf8d81a304435bc6e6dadfe16a8d25a3cd15f2286f07532ee2f22e
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size 11043669
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