JackAILab commited on
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0300604
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1 Parent(s): ed80eed

Complete RoboTwin offline bundle with required assets and checksums

Browse files
robotwin/ARCHIVE_SHA256SUMS CHANGED
@@ -1 +1,2 @@
 
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  8affd0d8434c56aa800511d9887f8fd7cc4ed728960565e395b5eb9a8f8918c2 archives/robotwin-deployment.tar
 
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+ b98769eae0c4b04ed4bdd0fcedfb2adb2f05a3859dddad9ae5f823a2773d671d archives/robotwin-assets.tar
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  8affd0d8434c56aa800511d9887f8fd7cc4ed728960565e395b5eb9a8f8918c2 archives/robotwin-deployment.tar
robotwin/MANIFEST.json CHANGED
@@ -17,9 +17,19 @@
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  "path": "archives/robotwin-deployment.tar",
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  "bytes": 819742720,
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  "sha256": "8affd0d8434c56aa800511d9887f8fd7cc4ed728960565e395b5eb9a8f8918c2"
 
 
 
 
 
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  }
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  ],
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  "checksums": [
 
 
 
 
 
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  {
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  "path": "archives/robotwin-deployment.tar",
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  "bytes": 819742720,
@@ -27,14 +37,14 @@
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  },
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  {
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  "path": "README.md",
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- "sha256": "a39b2ac2192515db58933bd744bf69b59a5f547bacb4ea25d9b81f9b9823aa29"
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  },
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  "path": "ARCHIVE_SHA256SUMS",
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- "sha256": "42beccac239cab3a4649f3c3654faef03507dc4c664a904470852cfa3be92944"
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  }
 
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  "path": "archives/robotwin-deployment.tar",
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  "bytes": 819742720,
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  "sha256": "8affd0d8434c56aa800511d9887f8fd7cc4ed728960565e395b5eb9a8f8918c2"
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  }
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  ],
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  "checksums": [
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+ "sha256": "b98769eae0c4b04ed4bdd0fcedfb2adb2f05a3859dddad9ae5f823a2773d671d"
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  "path": "archives/robotwin-deployment.tar",
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  "bytes": 819742720,
 
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  {
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  "path": "README.md",
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  }
robotwin/README.md CHANGED
@@ -2,7 +2,8 @@
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  ## Contents and provenance
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- - `archives/robotwin-deployment.tar` is the pinned RoboTwin deployment and matching asset tree used by StarBenchServer.
 
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  - The deployment license is retained under `LICENSES/`.
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  - `common/containers/robotwin-runtime/` is the validated `harbor.smoa.cc/intelligence/starvla-robotwin:latest` OCI layout used for the runtime path.
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@@ -10,12 +11,12 @@ Checkpoints, evaluation outputs, caches and credentials are excluded.
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  ## Archive layout
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- The canonical deployment archive is `archives/robotwin-deployment.tar`; it includes the pinned deployment and its matching `assets/` tree. Extract it with `tar -xf archives/robotwin-deployment.tar -C <workdir>` and set `ROBOTWIN_ROOT`/`ROBOTWIN_ASSET_ROOT` inside the extracted tree.
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  ## Offline setup
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  1. Download this folder and `common/`.
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- 2. Extract `robotwin-deployment.tar` into a work directory.
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  3. Import the OCI layout locally (for example `skopeo copy oci:/opt/starbench-assets/common/containers/robotwin-runtime docker-daemon:starvla-robotwin:latest`).
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  4. Set `ROBOTWIN_ROOT` and `ROBOTWIN_ASSET_ROOT` to the extracted deployment and `assets/` directories.
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  5. Run the StarBenchServer RoboTwin adapter with these paths. Do not call the upstream asset download scripts on the offline target.
 
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  ## Contents and provenance
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+ - `archives/robotwin-deployment.tar` is the pinned RoboTwin deployment used by StarBenchServer.
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+ - `archives/robotwin-assets.tar` is the matching official asset tree. It is required for offline execution.
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  - The deployment license is retained under `LICENSES/`.
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  - `common/containers/robotwin-runtime/` is the validated `harbor.smoa.cc/intelligence/starvla-robotwin:latest` OCI layout used for the runtime path.
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  ## Archive layout
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+ The deployment and asset archives are separate so either can be verified and transferred independently. Extract both with `tar -xf archives/robotwin-deployment.tar -C <workdir>` and `tar -xf archives/robotwin-assets.tar -C <workdir>`. Set `ROBOTWIN_ROOT` to the deployment directory and `ROBOTWIN_ASSET_ROOT` to the extracted `assets/` directory.
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  ## Offline setup
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  1. Download this folder and `common/`.
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+ 2. Extract both `robotwin-deployment.tar` and the required `robotwin-assets.tar` into a work directory.
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  3. Import the OCI layout locally (for example `skopeo copy oci:/opt/starbench-assets/common/containers/robotwin-runtime docker-daemon:starvla-robotwin:latest`).
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  4. Set `ROBOTWIN_ROOT` and `ROBOTWIN_ASSET_ROOT` to the extracted deployment and `assets/` directories.
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  5. Run the StarBenchServer RoboTwin adapter with these paths. Do not call the upstream asset download scripts on the offline target.
robotwin/archives/robotwin-assets.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ size 818135040