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Publish PredActor evaluation artifacts

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README.md ADDED
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+ ---
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+ license: other
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+ library_name: pytorch
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+ tags:
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+ - robotics
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+ - humanoid
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+ - unitree-g1
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+ - diffusion-policy
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+ - mujoco
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+ - motionclip
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+ ---
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+
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+ # PredActor Artifacts
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+
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+ Official evaluation artifacts for
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+ [PredActor](https://github.com/MasterYip/PredActor), a predictive action
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+ diffusion controller for steerable Unitree G1 locomotion.
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+
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+ This repository contains only the two learned artifacts required by the public
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+ MuJoCo evaluation path. Source code and robot assets live in the PredActor code
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+ repository; datasets, experiment outputs, deployment bundles, and additional
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+ checkpoints are not included here.
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+
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+ ## Repository layout
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+
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+ ```text
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+ PredActor_Artifacts/
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+ β”œβ”€β”€ README.md
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+ β”œβ”€β”€ SHA256SUMS
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+ β”œβ”€β”€ checkpoints/
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+ β”‚ β”œβ”€β”€ predactor/
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+ β”‚ β”‚ └── pdp051/
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+ β”‚ β”‚ └── latest.ckpt
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+ β”‚ └── motionclip/
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+ β”‚ └── g1-model-xyz-clip/
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+ β”‚ └── checkpoint_0100.pth.tar
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+ └── dataset/
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+ └── README.md
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+ ```
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+
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+ `dataset/` is reserved for future public datasets and currently contains no
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+ dataset payloads.
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+
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+ | Artifact | Size | SHA-256 |
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+ |---|---:|---|
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+ | PredActor PDP051 policy | 49,212,894 bytes | `2d963b32786f2989c6472726df9fcfe6b385590127e12e1f549a4b7d77488b2e` |
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+ | G1 MotionCLIP encoder | 542,749,069 bytes | `66a127df4958b346089b2020f2705c7456d9db0ee8b4bd9518608b708b35fc3c` |
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+
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+ `SHA256SUMS` provides the same identities in a format accepted by
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+ `sha256sum --check`.
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+
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+ ## Download
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+
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+ From a clone of the PredActor code repository:
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+
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+ ```bash
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+ python -m pip install huggingface_hub pyyaml
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+ python scripts/hf_artifacts.py download
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+ ```
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+
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+ The default destination is a sibling `PredActor_Artifacts/` directory, keeping
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+ learned weights outside the Git checkout. To choose another location:
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+
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+ ```bash
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+ python scripts/hf_artifacts.py --local-root /absolute/artifact/path download
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+ ```
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+
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+ The downloader verifies byte size and SHA-256 before reporting success.
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+
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+ ## Evaluation
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+
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+ Pass the downloaded paths to `PredActor/predactor_eval.py` together with the
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+ hashes above. The evaluator intentionally refuses learned weights stored inside
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+ the source checkout.
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+
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+ ## Scope and terms
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+
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+ These checkpoints are provided for research evaluation. The repository uses
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+ `license: other` because the artifacts and their transitive components do not
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+ share one standalone license grant. Users are responsible for complying with
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+ the terms of the PredActor source, MotionCLIP/OpenAI CLIP dependencies, Unitree
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+ assets, and any applicable third-party software.
SHA256SUMS ADDED
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+ 2d963b32786f2989c6472726df9fcfe6b385590127e12e1f549a4b7d77488b2e checkpoints/predactor/pdp051/latest.ckpt
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+ 66a127df4958b346089b2020f2705c7456d9db0ee8b4bd9518608b708b35fc3c checkpoints/motionclip/g1-model-xyz-clip/checkpoint_0100.pth.tar
checkpoints/motionclip/g1-model-xyz-clip/checkpoint_0100.pth.tar ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:66a127df4958b346089b2020f2705c7456d9db0ee8b4bd9518608b708b35fc3c
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+ size 542749069
checkpoints/predactor/pdp051/latest.ckpt ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:2d963b32786f2989c6472726df9fcfe6b385590127e12e1f549a4b7d77488b2e
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+ size 49212894
dataset/README.md ADDED
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+ # Datasets
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+
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+ This directory is reserved for future PredActor dataset releases. No dataset
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+ payloads are published in the current artifact release.