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  1. README.md +68 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - LeRobot
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+ - robotics
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+ - dataset
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+ ---
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+
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+ # ball_to_cup
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+
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+ This dataset was created using the teleop-i2rt-robot framework and follows the LeRobot v2.1 format.
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+
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+ ## Dataset Information
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+
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+ - **Robot Type**: i2rt_yam_pro
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+ - **Total Episodes**: 456
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+ - **Total Frames**: 87,711
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+ - **FPS**: 30
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+ - **Codebase Version**: v2.1
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+
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+ ## Cameras
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+
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+
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+
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+ ## Features
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+
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+ This dataset contains 11 features:
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+
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+ - **observation.images.wrist**: shape=[480, 640, 3], dtype=video
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+ - **observation.images.base**: shape=[480, 640, 3], dtype=video
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+ - **observation.images.env**: shape=[480, 640, 3], dtype=video
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+ - **observation.state**: shape=[7], dtype=float32
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+ - **action**: shape=[7], dtype=float32
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+ - **episode_index**: shape=[1], dtype=int64
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+ - **frame_index**: shape=[1], dtype=int64
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+ - **timestamp**: shape=[1], dtype=float32
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+ - **next.done**: shape=[1], dtype=bool
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+ - **index**: shape=[1], dtype=int64
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+ - **task_index**: shape=[1], dtype=int64
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+
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+ ## Tolerance
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+
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+ Recommended tolerance: 0.0200s (20.0ms)
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+
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+ ## Usage
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+
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+ ```python
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+ from lerobot.common.datasets.lerobot_dataset import LeRobotDataset
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+
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+ dataset = LeRobotDataset(
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+ repo_id="Neotix-Robotics/ball_to_cup",
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+ tolerance_s=0.02
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+ )
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+ ```
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+
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+ ## Citation
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+
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+ If you use this dataset, please cite:
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+
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+ ```bibtex
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+ @misc{ball_to_cup,
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+ title={ball_to_cup},
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+ author={Your Name},
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+ year={2026},
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+ publisher={HuggingFace},
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+ howpublished={\url{https://huggingface.co/datasets/Neotix-Robotics/ball_to_cup}}
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+ }
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+ ```
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