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feat(sim): VLABench benchmark integration
Add VLABench (language-conditioned manipulation with long-horizon reasoning) as a new simulation benchmark, following the established LIBERO/MetaWorld patterns. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# Benchmark image for VLABench integration tests.
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# Extends the nightly GPU image with the PR's source code and VLABench setup.
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#
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# Build: docker build -f docker/Dockerfile.benchmark.vlabench -t lerobot-benchmark-vlabench .
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# Run: docker run --gpus all --rm lerobot-benchmark-vlabench lerobot-eval ...
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FROM huggingface/lerobot-gpu:latest
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# Install VLABench and download simulation assets.
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RUN pip install --no-cache-dir vlabench mujoco==3.2.2 dm-control==1.0.22 && \
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python -c "from VLABench.utils import download_assets; download_assets()" 2>/dev/null || true
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# Overlay the PR's source code on top of the nightly image.
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COPY --chown=user_lerobot:user_lerobot . .
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CMD ["/bin/bash"]
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