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  1. README.md +60 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ task_categories:
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+ - robotics
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+ language:
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+ - en
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+ size_categories:
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+ - 1K<n<10K
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+ ---
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+
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+ # Humanoid Everyday
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+ A Comprehensive Robotic Dataset for Open-World Humanoid Manipulation
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+
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+ ---
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+
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+ ## Overview
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+ **Humanoid Everyday** is a large-scale, diverse humanoid manipulation dataset designed for open-world robotic learning and embodied intelligence.
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+
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+ It contains over 260 tasks across 7 major categories, covering dexterous manipulation, human–humanoid interaction, and locomotion-integrated activities.
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+ All data were collected through a human-supervised teleoperation pipeline, recording multimodal sensory streams at 30 Hz (RGB, depth, LiDAR, tactile, IMU).
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+
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+ ---
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+ ## Dataset Access
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+ ### LeRobot v2.0
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+ This dataset is compliant with the LeRobot v2.0 format. You can load it as follows:
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+
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+ ```python
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+ from lerobot.datasets.lerobot_dataset import LeRobotDataset, LeRobotDatasetMetadata
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+
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+ ds_meta = LeRobotDatasetMetadata("USC-GVL/humanoid-everyday")
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+
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+ ds = LeRobotDataset(
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+ "USC-GVL/humanoid-everyday",
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+ tolerance_s=1e-2,
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+ )
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+ ```
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+
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+ ### Legacy
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+ You can also explore our dataset through the public spreadsheet below:
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+
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+ **[Humanoid Everyday Dataset Spreadsheet](https://docs.google.com/spreadsheets/d/158Wzf8Xywky3aHJSCfp3OZxf4bkhzAJdcG94eHf8gVc/edit?gid=1307250382#gid=1307250382)**
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+
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+ The sheet includes:
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+ - A full list of 260 humanoid tasks with labeled categorys and robot types.
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+ - Download URLs for each task
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+
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+ A manual dataloader is provided at [github.com/ausbxuse/Humanoid-Everyday](https://github.com/ausbxuse/Humanoid-Everyday)
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+
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+ ## Citation
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+ ```
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+ @misc{zhao2025humanoideverydaycomprehensiverobotic,
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+ title={Humanoid Everyday: A Comprehensive Robotic Dataset for Open-World Humanoid Manipulation},
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+ author={Zhenyu Zhao and Hongyi Jing and Xiawei Liu and Jiageng Mao and Abha Jha and Hanwen Yang and Rong Xue and Sergey Zakharor and Vitor Guizilini and Yue Wang},
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+ year={2025},
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+ eprint={2510.08807},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.RO},
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+ url={https://arxiv.org/abs/2510.08807},
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+ }
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+ ```
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