# GAUGE

From the catalogue. Listed by one researcher from one source page.

- id: `gauge`
- kind: video for world models
- robot or device: real measured rigid bodies, cables, textiles, volumetric deformables (class: sensor only)
- how collected: controlled real-world measurement
- size as stated: 22 task families
- hours: not stated | hours only claimed: none | episodes: not stated
- year: 2026
- organisation: Shanghai AI Laboratory (InternRobotics)
- licence: MIT (class: open)
- access: open (class: open)
- link (dataset): https://huggingface.co/datasets/InternRobotics/GAUGE-Dataset
- Hugging Face repository: `InternRobotics/GAUGE-Dataset`, 2,402 downloads in 30 days, https://huggingface.co/datasets/InternRobotics/GAUGE-Dataset
- note: Benchmarks Isaac Sim, Genesis, Newton and video models against measurements.

## Copies and ports on the Hugging Face Hub

Uploads whose name carries this dataset's name, most downloaded first. Each has its own licence, which can differ from the original's.

| repository | robot | class | kind | episodes | hours | licence | downloads (30 d) |
|---|---|---|---|---|---|---|---|
| [jogarulfop/2026-09-03_shake4it_bench_5sensors_v3_strain_gauge_10kHz_nfft_512](https://huggingface.co/datasets/jogarulfop/2026-09-03_shake4it_bench_5sensors_v3_strain_gauge_10kHz_nfft_512) | SO-101 | low cost arm | recording | 40 | 0.3 | open | 155 |
| [jogarulfop/2026-08-31_shake4it_bench_5sensors_strain_gauge_10kHz_nfft_512](https://huggingface.co/datasets/jogarulfop/2026-08-31_shake4it_bench_5sensors_strain_gauge_10kHz_nfft_512) | SO-101 | low cost arm | recording | 40 | 0.3 | open | 110 |
| [jogarulfop/rollout_2026-09-07_shake4it_bench_5sensors_v3_strain_gauge_10kHz_nfft_512_20260907_113746](https://huggingface.co/datasets/jogarulfop/rollout_2026-09-07_shake4it_bench_5sensors_v3_strain_gauge_10kHz_nfft_512_20260907_113746) | SO-101 | low cost arm | evaluation rollout | 80 | 0.5 | open | 71 |

Each repository links to its Hugging Face page, where the files download. Everything this index knows about one upload: https://datasets.gurasees.com/datasets/{repository}.md

Confirm the licence at the link before relying on it.