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Dataset Summary

This dataset is designed for instruction tuning vision-language models (VLMs) on 3D Computer-Aided Design (CAD) comprehension and interactive engineering reasoning. It scales up the Text2CAD dataset dataset by transforming static CAD assets and multi-level design prompts into a multimodal, conversational format.

To bridge the gap between static 3D CAD data and conversational AI, we extended the original dataset by:

  1. Rendering multi-view images for each CAD asset to provide comprehensive visual context.
  2. Generating multi-turn conversations [multi-turn dialogue] centered around the visual and structural properties of the models, making it ideal for instruction tuning.
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Paper for trislee02/text2cad_multiview