# BridgeEQA

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

- id: `bridgeeqa`
- kind: language and reasoning annotation
- robot or device: 200 real-world bridge inspection scenes (class: sensor only)
- how collected: QA grounded in professional inspection reports
- size as stated: 2,200 open-vocabulary QA pairs; 47.93 images per scene on average
- hours: not stated | hours only claimed: none | episodes: not stated
- year: 2026
- organisation: hoskerelab
- licence: mit (class: open)
- access: open (class: open)
- link (dataset): https://huggingface.co/datasets/hoskerelab/bridge-eqa
- Hugging Face repository: `hoskerelab/bridge-eqa`, 469 downloads in 30 days, https://huggingface.co/datasets/hoskerelab/bridge-eqa
- note: Civil bridges, unrelated to BridgeData robot dataset.

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