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feat: add MultiLeRobotDataset with weighted sampling and RoboMME env integration
Multi-dataset training support: - NewMultiLeRobotDataset with per-dataset feature mapping, auto-padding, per-dataset transform pipelines, and weighted sampling - MultiDatasetMeta shim compatible with EpisodeAwareSampler and make_policy - WeightedEpisodeAwareSampler for proportional cross-dataset sampling - SubDatasetConfig / MultiDatasetConfig in training configs - DatasetTransformPipeline with built-in PadAction, PadState, ResizeImages - Factory and training script wired up for multi-dataset path RoboMME environment integration: - RoboMMEEnv config and Gymnasium wrapper (robomme.py) - robomme optional dependency in pyproject.toml Made-with: Cursor
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@@ -180,6 +180,9 @@ libero_plus = [
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"libero @ git+https://github.com/sylvestf/LIBERO-plus.git@main ; sys_platform == 'linux'",
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"lerobot[scipy-dep]",
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]
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robomme = [
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"robomme @ git+https://github.com/RoboMME/robomme_benchmark.git@main ; sys_platform == 'linux'",
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]
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metaworld = ["metaworld==3.0.0", "lerobot[scipy-dep]"]
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# All
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