# CausalVQA

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

- id: `causalvqa`
- kind: language and reasoning annotation
- robot or device: real-world video (class: other)
- how collected: curated QA
- size as stated: not stated in abstract
- hours: not stated | hours only claimed: none | episodes: not stated
- year: 2025
- organisation: Meta FAIR
- licence: not stated (class: not stated)
- access: not stated (class: not stated)
- link (paper): https://arxiv.org/abs/2506.09943
- note: Physically grounded causal questions.

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