internlm/DL3DV-2k

DL3DV-2K是一个基于DL3DV数据集构建的基准测试，用于评估大型模型在空间推理任务中的视点转换能力，总共包含2K个样本。每个样本包含：images（原始图像）、aux_images（仅供人类参考的转换后图像，不作为问题输入）、question（问题）、candidates（候选答案）和answer（答案）。模型需要从原始图像中想象aux_images的视点，以便有效回答问题。

DL3DV-2K is a benchmark constructed from the DL3DV dataset for evaluating the viewpoint transformation capability of large models in spatial reasoning tasks, comprising 2K samples in total. Each sample contains: images (original images), aux_images (transformed images provided for human reference only and not used as question input), question, candidates, and answer. The model needs to imagine the viewpoint of the aux_images from the images in order to effectively answer the question.