| --- |
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| configs: |
| - config_name: conv_dataset |
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| - split: train |
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| - config_name: conv_dataset_abstract |
| data_files: |
| - split: train |
| path: conv_dataset_abstract/train-* |
| - split: val |
| path: conv_dataset_abstract/val-* |
| - split: test |
| path: conv_dataset_abstract/test-* |
| - config_name: conv_dataset_splits |
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| - split: train |
| path: conv_dataset_splits/train-* |
| - split: val |
| path: conv_dataset_splits/val-* |
| - split: test |
| path: conv_dataset_splits/test-* |
| - config_name: ic_dataset |
| data_files: |
| - split: train |
| path: ic_dataset/train-* |
| - config_name: ic_dataset_abstract |
| data_files: |
| - split: train |
| path: ic_dataset_abstract/train-* |
| - split: val |
| path: ic_dataset_abstract/val-* |
| - split: test |
| path: ic_dataset_abstract/test-* |
| --- |
| |
| ### 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**](https://arxiv.org/abs/2409.17106) 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. |
