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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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@@ -206,6 +206,7 @@ aloha = ["lerobot[dataset]", "gym-aloha>=0.1.2,<0.2.0", "lerobot[scipy-dep]"]
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pusht = ["lerobot[dataset]", "gym-pusht>=0.1.5,<0.2.0", "pymunk>=6.6.0,<7.0.0"] # TODO: Fix pymunk version in gym-pusht instead
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libero = ["lerobot[dataset]", "lerobot[transformers-dep]", "hf-libero>=0.1.3,<0.2.0; sys_platform == 'linux'", "lerobot[scipy-dep]"]
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metaworld = ["lerobot[dataset]", "metaworld==3.0.0", "lerobot[scipy-dep]"]
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vlabench = ["lerobot[dataset]", "vlabench>=0.1.0; sys_platform == 'linux'", "mujoco==3.2.2", "dm-control==1.0.22", "lerobot[scipy-dep]"]
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# All
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all = [
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@@ -247,6 +248,7 @@ all = [
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"lerobot[phone]",
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"lerobot[libero]; sys_platform == 'linux'",
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"lerobot[metaworld]",
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"lerobot[vlabench]; sys_platform == 'linux'",
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"lerobot[sarm]",
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"lerobot[peft]",
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# "lerobot[unitree_g1]", TODO: Unitree requires specific installation instructions for unitree_sdk2
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