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docs: de-duplicate sidebar navigation under section captions
The left-sidebar globaltoc was showing each Dataset/IL/RL child page twice — once flat under the caption and again nested inside an "Overview" item that pointed at the section index, because the section index's own ``toctree`` re-listed the same children. Two structural changes, no content removed: 1. ``docs/source/index.md``: drop the redundant ``Overview <section/index>`` line from the captioned root toctrees for Dataset & Benchmark and Imitation Learning. The flat listing of leaf pages stays — that's what the sidebar surfaces. 2. ``docs/source/dataset_benchmark/index.md`` and ``docs/source/roboverse_learn/index.md``: mark as ``:orphan:`` and remove their internal captioned toctrees. The pages stay accessible at their URLs (with all their body content) but no longer act as structural parents in the global toctree, which was the source of the duplication. The four sidebar captions remain (Dataset & Benchmark / Imitation Learning / Reinforcement Learning / FAQ); each now lists its leaves exactly once.
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docs/source/dataset_benchmark/index.md

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# Dataset and Benchmark
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This section documents the RoboVerse task suite, asset library, and evaluation protocols.
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## Table of Contents
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```{toctree}
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:caption: RoboVerse Tasks
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:titlesonly:
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tasks/overview
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tasks/descriptions
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tasks/task_groups
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```
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```{toctree}
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:caption: RoboVerse Dataset
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:titlesonly:
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dataset/robots
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dataset/objects
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dataset/scenes
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```
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```{toctree}
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:caption: RoboVerse Benchmark
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:titlesonly:
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benchmark/overview
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benchmark/results
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benchmark/usage
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```

docs/source/index.md

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Overview <dataset_benchmark/index>
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Tasks Overview <dataset_benchmark/tasks/overview>
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Task Descriptions <dataset_benchmark/tasks/descriptions>
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Task Groups <dataset_benchmark/tasks/task_groups>
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Overview <roboverse_learn/index>
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Diffusion Policy <roboverse_learn/imitation_learning/diffusion_policy>
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ACT <roboverse_learn/imitation_learning/ACT>
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OpenVLA <roboverse_learn/imitation_learning/openvla>

docs/source/roboverse_learn/index.md

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# RoboVerse Learn
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**RoboVerse Learn** provides a comprehensive suite of learning algorithms for robot policy training. It integrates seamlessly with MetaSim environments, enabling end-to-end training pipelines for both imitation learning and reinforcement learning.
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## Contributing
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Want to add a new algorithm? See our [Contributing Guide](imitation_learning/contributing.md) for instructions on integrating new methods.
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```{toctree}
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:caption: Imitation Learning
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:titlesonly:
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imitation_learning/diffusion_policy
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imitation_learning/ACT
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imitation_learning/openvla
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imitation_learning/smolvla
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imitation_learning/rdt
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imitation_learning/octo
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imitation_learning/contributing
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```
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```{toctree}
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:caption: Reinforcement Learning
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reinforcement_learning/ppo
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reinforcement_learning/fast_td3
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reinforcement_learning/sac
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reinforcement_learning/td3
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reinforcement_learning/skillblender_rl
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reinforcement_learning/humanoid
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```

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