sensenova/MessyTable-SI

MessyTable-SI MessyTable-SI is a question–answering dataset built on top of MessyTable. The original MessyTable dataset provides unique instance IDs for objects observed across multiple views of the same scene. MessyTable-SI repurposes these annotations into multiple-choice questions for training multimodal large language models. It is specifically designed to cultivate spatial intelligence (SI), with an emphasis on cross-view correspondence understanding. MessyTable-SI is used… See the full description on the dataset page: https://huggingface.co/datasets/sensenova/MessyTable-SI.

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