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README.md
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---
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dataset_info:
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features:
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- name: observation.images.head_rgb_image
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dtype: video
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- name: observation.images.hand_rgb_image
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dtype: video
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- name: observation.images.hand_depth_image
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dtype: video
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- name: observation.state
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dtype: sequence
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- name: action
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dtype: sequence
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splits:
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- name: train
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num_examples: 80
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license: other
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task_categories:
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- robotics
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tags:
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- robotics
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- imitation-learning
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- vision-language-action
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- hsr
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- mujoco
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- lerobot
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---
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# HSR Tomato Can Box RandomRect RealMatch Mix80
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This dataset is a LeRobot-style HSR mobile-manipulation dataset used by the
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Evo-Mibo demo training code.
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It contains 80 demonstrations for the tomato-can-box task with:
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- head RGB video
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- hand RGB video
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- hand inverse-depth video
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- 15D robot state
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- compact 2D scene slots, forming a 27D state vector
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- 9D action
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- language instruction
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The task instruction is:
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```text
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Pick up the can and move it to the box.
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```
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The matching code and training scripts are expected to use:
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```text
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dataset/config_demo_hsr_tomato_randomrect_realmatch_mix80_state27.yaml
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```
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Example download:
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```bash
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hf download Maxmibo/HSR-TomatoCanBoxRandomRectRealMatchMix80 \
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--repo-type dataset \
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--local-dir data/HSR_TomatoCanBoxRandomRectRealMatchMix80_RGB15_HandInvDepth005to200_State27_BinaryGripper025_InitialScene_20260621_20260720_lerobot_v21
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```
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