HumanPlus-1000 is a large-scale multimodal human behavior dataset designed for learning and modeling human perception, motion, and interaction in real-world environments.
Rows—
Configurations—
Size5.4 GB
Licensecc-by-nc-4.0
AccessPublicly accessible
Monthly Downloads6.6k
Dataset Card
HumanPlus-1000 is a large-scale multimodal human behavior dataset designed for learning and modeling human perception, motion, and interaction in real-world environments. It captures synchronized egocentric visual observations, full-body motion, hand motion, camera motion, and 3D environment information, with the goal of providing paired human perception–action data for embodied intelligence, human motion modeling, and robotics. HumanPlus-1000 is designed around long-horizon human activities captured in real-world environments. Unlike datasets that provide only egocentric video or isolated motion sequences, HumanPlus aims to align multiple representations of human behavior - what the human…
Excerpt from the card by Humanplus.ai, licensed cc-by-nc-4.0.
Details
- Repository
- humanplus-ai/humanplus-1000
- Publisher
- Humanplus.ai
- Task category
- Not stated by the source
- Tags
- human-motion, egocentric-vision, motion-capture
- Size category
- Not stated by the source
- Languages
- Not stated by the source
- Revision
- d89361c3b1129c29913ab2814ab3d7be5dc46068
- Last updated
- 2026-10-08
Files
70 files, 5.4 GB in total.
Data17 files · 24.2 KB
Documentation1 file · 6.6 KB
Other51 files · 5.4 GB
Repository1 file · 6.3 KB
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| data/session_20260903_113804/metadata.json | Data | 1.4 KB | — |
| data/session_20260903_114310/metadata.json | Data | 1.4 KB | — |
| data/session_20260903_114649/metadata.json | Data | 1.4 KB | — |
| data/session_20260903_114931/metadata.json | Data | 1.4 KB | — |
| data/session_20260903_115409/metadata.json | Data | 1.4 KB | — |
| data/session_20260903_115645/metadata.json | Data | 1.4 KB | — |
| data/session_20260903_115938/metadata.json | Data | 1.4 KB | — |
| data/session_20260903_120158/metadata.json | Data | 1.4 KB | — |
| data/session_20260903_134057/metadata.json | Data | 1.4 KB | — |
| data/session_20260903_134239/metadata.json | Data | 1.4 KB | — |
| data/session_20260903_134819/metadata.json | Data | 1.4 KB | — |
| data/session_20260903_135425/metadata.json | Data | 1.4 KB | — |
| data/session_20260903_135844/metadata.json | Data | 1.4 KB | — |
| data/session_20260903_142705/metadata.json | Data | 1.4 KB | — |
| data/session_20260903_143321/metadata.json | Data | 1.4 KB | — |
| data/session_20260903_145523/metadata.json | Data | 1.4 KB | — |
| data/session_20260903_151402/metadata.json | Data | 1.4 KB | — |
| README.md | Documentation | 6.6 KB | — |
| data/session_20260903_113804/annotation.hdf5 | Other | 108.9 MB | 1b2a4cb67e79 |
| data/session_20260903_113804/fisheye_left.mp4 | Other | 85.1 MB | aeed76e2e771 |
| data/session_20260903_113804/fisheye_right.mp4 | Other | 86.9 MB | 9de9b073b6dc |
| data/session_20260903_114310/annotation.hdf5 | Other | 98.2 MB | 11317c61020c |
| data/session_20260903_114310/fisheye_left.mp4 | Other | 46.5 MB | 2908b4e2b830 |
| data/session_20260903_114310/fisheye_right.mp4 | Other | 49.3 MB | 9e09036c439c |
| data/session_20260903_114649/annotation.hdf5 | Other | 165.1 MB | d1163b3fe255 |
| data/session_20260903_114649/fisheye_left.mp4 | Other | 100.9 MB | 9393d08d111b |
| data/session_20260903_114649/fisheye_right.mp4 | Other | 105.4 MB | 6f9d8b625b83 |
| data/session_20260903_114931/annotation.hdf5 | Other | 158.7 MB | 83b230f999d3 |
| data/session_20260903_114931/fisheye_left.mp4 | Other | 122.6 MB | 7f7249766a1f |
| data/session_20260903_114931/fisheye_right.mp4 | Other | 125.7 MB | 3b573d983659 |
| data/session_20260903_115409/annotation.hdf5 | Other | 172.5 MB | 23e725a32d61 |
| data/session_20260903_115409/fisheye_left.mp4 | Other | 89.8 MB | 114eedd2ef73 |
| data/session_20260903_115409/fisheye_right.mp4 | Other | 93.3 MB | cd720ccfebac |
| data/session_20260903_115645/annotation.hdf5 | Other | 160.5 MB | c0491bdd3895 |
| data/session_20260903_115645/fisheye_left.mp4 | Other | 108.7 MB | fc093428b68a |
| data/session_20260903_115645/fisheye_right.mp4 | Other | 112.8 MB | dfb562a12369 |
| data/session_20260903_115938/annotation.hdf5 | Other | 109.2 MB | 36446ca7361c |
| data/session_20260903_115938/fisheye_left.mp4 | Other | 67.2 MB | fbe1a85340a0 |
| data/session_20260903_115938/fisheye_right.mp4 | Other | 71.1 MB | 7d5c5efd14b4 |
| data/session_20260903_120158/annotation.hdf5 | Other | 89.1 MB | cd861a26242f |
| data/session_20260903_120158/fisheye_left.mp4 | Other | 60.3 MB | 6dbedb69bb07 |
| data/session_20260903_120158/fisheye_right.mp4 | Other | 62.5 MB | 67d7cd1e4154 |
| data/session_20260903_134057/annotation.hdf5 | Other | 129.5 MB | 36535472825d |
| data/session_20260903_134057/fisheye_left.mp4 | Other | 94.3 MB | e9da8d2c0cfe |
| data/session_20260903_134057/fisheye_right.mp4 | Other | 95.1 MB | 87237d42cb0b |
| data/session_20260903_134239/annotation.hdf5 | Other | 107.3 MB | 4f5e9427913e |
| data/session_20260903_134239/fisheye_left.mp4 | Other | 104.5 MB | c93e111a58ec |
| data/session_20260903_134239/fisheye_right.mp4 | Other | 104.9 MB | 915b0b5f410d |
| data/session_20260903_134819/annotation.hdf5 | Other | 124.5 MB | f2bad8b7ead2 |
| data/session_20260903_134819/fisheye_left.mp4 | Other | 78.9 MB | 6e654fc3a5cf |
| data/session_20260903_134819/fisheye_right.mp4 | Other | 83.9 MB | 4e51b5fb4beb |
| data/session_20260903_135425/annotation.hdf5 | Other | 139.1 MB | e0be8d3ac564 |
| data/session_20260903_135425/fisheye_left.mp4 | Other | 159.8 MB | 5cbe9665075d |
| data/session_20260903_135425/fisheye_right.mp4 | Other | 161.5 MB | dad9f4adc40f |
| data/session_20260903_135844/annotation.hdf5 | Other | 201.6 MB | 06e45fb5632d |
| data/session_20260903_135844/fisheye_left.mp4 | Other | 203.8 MB | cd1c99b9a440 |
| data/session_20260903_135844/fisheye_right.mp4 | Other | 207.3 MB | 394c4ba000d7 |
| data/session_20260903_142705/annotation.hdf5 | Other | 101.7 MB | 32acb2936c67 |
| data/session_20260903_142705/fisheye_left.mp4 | Other | 57.4 MB | 141e94d2cfe7 |
| data/session_20260903_142705/fisheye_right.mp4 | Other | 60.5 MB | ce04c8cc8cc0 |
| data/session_20260903_143321/annotation.hdf5 | Other | 97.4 MB | 4e1f5de9cfde |
| data/session_20260903_143321/fisheye_left.mp4 | Other | 65.6 MB | 9f6a9b764b4d |
| data/session_20260903_143321/fisheye_right.mp4 | Other | 66.8 MB | 325e0abfda10 |
| data/session_20260903_145523/annotation.hdf5 | Other | 129.8 MB | 1177646513de |
| data/session_20260903_145523/fisheye_left.mp4 | Other | 102.0 MB | 2e61fa28b69e |
| data/session_20260903_145523/fisheye_right.mp4 | Other | 104.5 MB | f5dc21265b70 |
| data/session_20260903_151402/annotation.hdf5 | Other | 103.4 MB | 2b04fd2ae51e |
| data/session_20260903_151402/fisheye_left.mp4 | Other | 51.9 MB | 1b901714e182 |
| data/session_20260903_151402/fisheye_right.mp4 | Other | 51.7 MB | ba49c84f76a6 |
| .gitattributes | Repository | 6.3 KB | — |
License and Download
- License
- cc-by-nc-4.0
- Access
- No access gate
Download from Humanplus.ai
Released by Humanplus.ai through its official repository on Hugging Face. Read the license.