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GraphVLA V7 training cache
Public transfer repository published at the project owner's request. This is the existing verified V5 DA3/TCP LIBERO training cache reused for V7. V7 mask-coverage-weighted visual pooling is computed during training, not stored here. No trained policy checkpoints, credentials, or evaluation results are included.
The complete cache has 1,693 episodes and 273,465 dense control frames.
Frames contain RGB/wrist images, masks, DA3 geometry, robot TCP information,
normalized action chunks and provenance. The manifest uses relative paths.
Shards contain unmodified cache bytes and have SHA-256 checksums in MANIFEST.json.
Until MANIFEST.json has complete: true, this repository is still uploading.
Verify all shards and the original per-frame checksums before training.
Respect the upstream LIBERO dataset and dependency licenses; this transfer does
not grant additional rights or certify a benchmark-fairness claim.
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