Datasets:
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Download README.md from MLL-Lab/robosafe-assets: direct link, hf CLI and curl.
- Browser
- Download file 899 Bytes
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https://huggingface.co/datasets/MLL-Lab/robosafe-assets/resolve/main/README.md
- Command line
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hf download hf://datasets/MLL-Lab/robosafe-assets/README.md
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curl -L -o README.md https://huggingface.co/datasets/MLL-Lab/robosafe-assets/resolve/main/README.md
899 Bytes
| license: cc-by-4.0 | |
| pretty_name: RoboSafeBench assets | |
| tags: | |
| - robotics | |
| - mujoco | |
| - simulation | |
| # RoboSafeBench assets | |
| The binary textures (`.png`) and meshes (`.obj`) of RoboSafeBench's `realism_v3` asset pack, used to build the | |
| `eai-robosafe` simulator image of [robot_coding_bench](https://github.com/JamesKrW/robot_coding_bench) | |
| (`images/robosafe/`). The pack's JSON metadata lives in that repository. This dataset holds only the large files, | |
| pinned by commit and by the sha256 of every file in `scripts/robosafe/assets.json` there and fetched with | |
| `python3 scripts/robosafe/assets.py fetch`. | |
| Licences: every asset is CC0 1.0 or CC BY 4.0. `realism_v3/credits.json` names each asset's author, source and licence; | |
| the CC BY 4.0 text is in `realism_v3/licenses/`. `realism_v3/manifest.json` is the pack's manifest (sha256 | |
| `2e030c8f77c301bee3ed2733f4bcc4f3e1e6b4a7502dcf5816883e1c7c705913`). | |