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Description
Text2CAD is a dataset for generating sequential computer-aided design (CAD) operations from text prompts. The dataset was created by Mohammad Sadil Khan, Sankalp Sinha, Talha Uddin Sheikh, Didier Stricker, Sk Aziz Ali, and Muhammad Zeshan Afzal. The dataset page was last updated on June 11, 2025.
Use Cases
Train text-to-CAD generation models based on the described sequential design paradigm.
Benchmark vision-language models (VLMs) and large language models (LLMs) on CAD design tasks.
Study the mapping from beginner-to-expert level text prompts to CAD operations.
Strengths
Dataset includes multiple versions (e.g., Text2CAD 1.0) with specified model backbones (LLaVA-NeXT, Mistral-7x8B-Instruct).
Explicitly targets a sequential CAD design generation task from text prompts.
Author list and last update date (2025-06-11) are provided.
Limitations
Description metadata is limited; actual data quality requires manual inspection after download.
Column-level documentation is absent; field semantics must be inferred after download.
Row count, file formats, and license are unknown, which may limit suitability assessment.
Provenance
Source
Hugging Face dataset authored by SadilKhan.
Collection Method
Likely generated using vision-language and large language models (LLaVA-NeXT, Mistral-7x8B-Instruct) as indicated in the version table.
Time Range
null
Freshness
Last updated 2025-06-11 21:16:37; freshness should be verified.
Geography
null
License is unknown; users must verify permissions before use.