Add versioned NeRD reference assets v1
Browse filesAppend an isolated example-resource bundle of four exact original files. Robot assets and Apache-2.0 license match NVlabs/neural-robot-dynamics@476dc67fccc6a99be293bf611f897b1c06f13e30. Existing data/model releases and asset hashes are unchanged.
demo/nerd/reference_assets/v1/README.md
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# NeRD reference assets v1
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This independent example-resource bundle contains the exact four files formerly
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packaged under `embodichain/data/nerd`: two robot sources, the original upstream
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Apache2 license and the EmbodiChain attribution. It contains no trained weights,
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trajectory data or simulator binaries. The model and dataset releases in other
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Hugging Face repositories are unchanged.
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Robot sources and `LICENSE.md` match NVlabs/neural-robot-dynamics commit
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`476dc67fccc6a99be293bf611f897b1c06f13e30` byte-for-byte. `ATTRIBUTION.md` preserves the EmbodiChain provenance
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and interpretation notes without rewriting them. See `manifest.json` for every
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original byte count/SHA256 and the complete archive identity.
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`reference_assets.zip` stores a root `nerd_reference_assets/` directory entry
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before its four files. Entry order,1980timestamp,Unix modes and uncompressed ZIP
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encoding are deterministic. Downloaders must pin one immutable Hub revision,
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verify archive and member SHA256, reject traversal/absolute/duplicate/symlink or
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unexpected entries, and verify extracted files before using them. The associated
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NeRD example prepares these resources explicitly rather than requiring a core
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SDK data package or changing global download roots.
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Published model asset hashes remain:
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- CartPole: `f31276531c03050a3ac3a3e24443899f38a4424586db17140978383433dec237`
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- Ant: `23e9a720465a71fde3fd9fd2d5a18f8c11ec642f3dca8921c66cb4e169421fa7`
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These hashes identify the original robot bytes. They do not establish identical
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physics across importer profiles or solver versions; model/data deployment
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manifests retain their own physical signatures.
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demo/nerd/reference_assets/v1/manifest.json
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{
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"archive": {
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"compression": "stored",
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"directory_entries": [
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"nerd_reference_assets/"
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],
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"filename": "reference_assets.zip",
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"format": "zip",
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"root": "nerd_reference_assets",
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"sha256": "008d90d395422be81f8bbd9707fc05fafd358b44794b29ff0f6158a75cd1da22",
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"size": 19269,
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"timestamp": [
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1980,
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1,
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1,
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0,
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0,
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0
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]
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},
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"bundle": "nerd-reference-assets",
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"embodichain_source_revision": "60425caa4308a44a9b4064470de148a4a05806ca",
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"files": {
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"ATTRIBUTION.md": {
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"path": "nerd_reference_assets/ATTRIBUTION.md",
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"sha256": "4d86dc2651a4e24903162e8bac2a96122952d49d91c7ffb52a7fa28119438ca5",
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"size": 1201,
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"source": "DexForce/EmbodiChain attribution"
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},
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"LICENSE.md": {
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"path": "nerd_reference_assets/LICENSE.md",
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"sha256": "59899c6091b540582ed617e8eeaac4919dc985ccfc35459ee9752b699be5205b",
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"size": 10172,
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"source": "NVlabs/neural-robot-dynamics@476dc67fccc6a99be293bf611f897b1c06f13e30:LICENSE.md"
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},
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"ant.xml": {
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"path": "nerd_reference_assets/ant.xml",
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"sha256": "23e9a720465a71fde3fd9fd2d5a18f8c11ec642f3dca8921c66cb4e169421fa7",
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"size": 5231,
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"source": "NVlabs/neural-robot-dynamics@476dc67fccc6a99be293bf611f897b1c06f13e30:envs/newton_envs/assets/ant.xml"
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},
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"cartpole_single.urdf": {
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"path": "nerd_reference_assets/cartpole_single.urdf",
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"sha256": "f31276531c03050a3ac3a3e24443899f38a4424586db17140978383433dec237",
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"size": 1941,
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"source": "NVlabs/neural-robot-dynamics@476dc67fccc6a99be293bf611f897b1c06f13e30:envs/newton_envs/assets/cartpole_single.urdf"
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}
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},
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"huggingface": {
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"path": "demo/nerd/reference_assets/v1",
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"repo_id": "DexForceAI/embodichain_data",
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"repo_type": "dataset"
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},
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"license": "Apache-2.0",
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"published_model_asset_sha256": {
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"ant": "23e9a720465a71fde3fd9fd2d5a18f8c11ec642f3dca8921c66cb4e169421fa7",
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"cartpole": "f31276531c03050a3ac3a3e24443899f38a4424586db17140978383433dec237"
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},
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"schema_version": 1,
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"upstream": {
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"repository": "NVlabs/neural-robot-dynamics",
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"revision": "476dc67fccc6a99be293bf611f897b1c06f13e30",
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"url": "https://github.com/NVlabs/neural-robot-dynamics/tree/476dc67fccc6a99be293bf611f897b1c06f13e30"
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},
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"version": "v1"
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}
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demo/nerd/reference_assets/v1/reference_assets.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:008d90d395422be81f8bbd9707fc05fafd358b44794b29ff0f6158a75cd1da22
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size 19269
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