V2V-QA (V2V-LLM)

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

• id: v2v-qa-v2v-llm
• kind: language and reasoning annotation
• robot or device: V2V4Real multi-vehicle lidar (class: vehicle)
• how collected: QA built on cooperative data
• size as stated: not stated
• hours: not stated | hours only claimed: none | episodes: not stated
• year: 2025
• organisation: NVIDIA / CMU
• licence: not stated (class: not stated)
• access: open (class: open)
• link (paper): https://arxiv.org/abs/2502.09980

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