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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