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IEEE-T-ASE
ricemonster/IEEE-T-ASE
IEEE-T-ASE is a machine learning model from ricemonster. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository contains all resources used to train and evaluate large language models for generating CadQuery code from natural language descriptions.
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Public
Updated May 11, 2025
Repo size
1.6 GB
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.csv1.3 GB · 83%
At a glance
- Access
- Public
- Created
- May 10, 2025
- Updated
- May 11, 2025
- SHA
- 4091ce30
Model card
From the Hugging Face model README
NeurIPS11092: Text-to-CadQuery Repo
This repository contains all resources used to train and evaluate large language models for generating CadQuery code from natural language descriptions.
Contents
-
data/
Contains prompt-completion pairs used to finetune six open-source LLMs.
These files are split intodata_train.jsonl,data_val.jsonl, anddata_test.jsonlfollowing a 90/5/5 ratio. -
CadQuery.zip
Includes all 170,000 CadQuery programs we generated from the Text2CAD dataset using Gemini 2.0 Flash. -
text2cad_v1.1.csv
Original source data provided by the Text2CAD authors, in minimal JSON format.
Finetuned Models
We trained the following models on this dataset:
Acknowledgements
We gratefully acknowledge the authors of Text2CAD and DeepCAD for their foundational datasets and inspiration.
- Created
- May 10, 2025
- Updated
- May 11, 2025