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image imagewidth (px) 1.02k 1.08k | label class label 55
classes |
|---|---|
10alignment-axial-i00 | |
11alignment-vertical-i00 | |
12camera-relocalization-obstructed-i00 | |
19configuration-matching-articulation-open-small-scale-i00 | |
20configuration-matching-block-design-i00 | |
21inter-object-relation-satisfaction-inside-small-scale-i00 | |
22inter-object-relation-satisfaction-nextto-small-scale-i00 | |
23inter-object-relation-satisfaction-ontop-small-scale-i00 | |
24inter-object-relation-satisfaction-touching-small-scale-i00 | |
25inter-object-relation-satisfaction-under-small-scale-i00 | |
34mental-rotation-i00 | |
35object-scaling-i00 | |
0acrylic-applesoranges-i00 | |
1acrylic-bedroom-i00 | |
2acrylic-bluehorses-i00 | |
3acrylic-greatwave-i00 | |
4acrylic-kajikazawa-i00 | |
5acrylic-plumpark-i00 | |
6acrylic-redfuji-i00 | |
7acrylic-suddenshower-i00 | |
8acrylic-sunflowers-i00 | |
9acrylic-vision-i00 | |
13caoshu-beiquelindanshui-i00 | |
14caoshu-nangong-i00 | |
15caoshu-siwushaonian-i00 | |
16caoshu-wen-i00 | |
17caoshu-zhen-i00 | |
18caoshu-zhongtiangechuifen-i00 | |
26kaishu-linfengguilong-i00 | |
27kaishu-yongzibafa-i00 | |
28lettering-aim-i00 | |
29lettering-business-i00 | |
30lettering-commendation-i00 | |
31lettering-diligence-i00 | |
32lettering-liberty-i00 | |
33lettering-virtue-i00 | |
36oil-bathers-i01 | |
37oil-cafeterrace-i01 | |
38oil-cypresses-i01 | |
39oil-irises-i01 | |
40oil-milkmaid-i01 | |
41oil-monalisa-i01 | |
42oil-pearlearring-i01 | |
43oil-saintevictoire-i01 | |
44oil-starrynight-i01 | |
45oil-temeraire-i01 | |
46oil-wanderer-i01 | |
47xingshu-feng-i00 | |
48xingshu-he-i00 | |
49xingshu-huifenghechang-i00 | |
50xingshu-maolinxiuzhu-i00 | |
51xingshu-nian-i00 | |
52xingshu-shan-i00 | |
53xingshu-xian-i00 | |
54xingshu-yong-i00 |
Embodied First Exam: public task files
🌐 Website: embodied-first-exam.ai · 💻 Code: github.com/mll-lab-nu/embodied-first-exam
Large files of Embodied First Exam tasks, kept out of the git
repository. One folder per benchmark. The repository pins this dataset by commit and every file by sha256
(images/<name>/FILES.json, or a benchmark's own asset script). Its files-only images are built from that download, so a
task gets the same bytes at the same paths with no download at run time.
python3 scripts/files_image.py fetch <name> # a files-only image's pinned files (no login: this dataset is public)
python3 images/ese/assets.py fetch # the Embodied Safety Exam image's build-context files
| Folder | What | Licence |
|---|---|---|
robopaint/<task>/target.png |
the exemplar picture of each RoboPaint task | per picture, in the NOTICE-exemplar.md next to it: CC0-1.0 (pictures painted by the benchmark's robot), public domain (historical works), or the Arphic Public License (ARPHICPL.TXT next to those pictures) |
embodied-safety-exam/bigym2/ |
third-party files of the Embodied Safety Exam simulator image's build context (assets/third_party/bigym2/): Unitree G1 meshes (g1/meshes/*.STL) and the NVIDIA GR00T whole-body-control policies (wbc/*.onnx) |
as in the LICENSE / NOTICE files next to them: BiGym 2.0 Apache-2.0; G1 meshes BSD-3-Clause (Unitree Robotics) and Apache-2.0; GR00T-WBC weights the NVIDIA Open Model License ("Licensed by NVIDIA Corporation under the NVIDIA Open Model License") |
ikea-mujoco/<scene>/assets/parts/ |
the furniture part meshes of the IKEA MuJoCo scenes (1,250 OBJ files): our own parameterized reconstructions from the dimensions in the IKEA assembly manuals, not IKEA CAD (images/ikea-mujoco/assets.json, images/ikea-mujoco/fetch_image_context.sh) |
CC BY 4.0 (ikea-mujoco/LICENSE, ikea-mujoco/README.md) |
ispatialgym/<instance>/goal.png |
the goal image of each iSpatialGym instance (the head camera's view once the task is done): upstream's own goal images, unchanged, from iSpatialGym's evaluation data (kmy17518/ispatialgym-eval-data v1.0) |
MIT (ispatialgym/LICENSE, ispatialgym/NOTICE.md) |
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