# SQA3D

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

- id: `sqa3d`
- kind: language and reasoning annotation
- robot or device: 650 ScanNet scenes (class: sensor only)
- how collected: crowd annotation
- size as stated: 6.8k situations; 20.4k descriptions; 33.4k questions
- hours: not stated | hours only claimed: none | episodes: not stated
- year: 2022
- organisation: SilongYong (GitHub account)
- licence: CC-BY-4.0 (data), Apache (code) (class: unclear)
- access: open (class: open)
- link (dataset): https://github.com/SilongYong/SQA3D
- note: Data on Zenodo; Hub copy jeasinema/SQA3D.

Confirm the licence at the link before relying on it.