TVRBench/tvr-sft-va

TVR-SFT-VA Visual-Action SFT training data for Target Viewpoint Reproduction (TVR), from the paper "Where to Look: Can Foundation Models Reach a Target Viewpoint Through Active Exploration?" [arXiv]. Dataset Description Expert trajectories collected by a rule-based Dijkstra planner in AI2-THOR indoor environments. Each trajectory is a multi-turn conversation where the agent observes its current view and the target view, then takes an action to reduce the viewpoint… See the full description on the dataset page: https://huggingface.co/datasets/TVRBench/tvr-sft-va.

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