metadata
language:
- en
base_model: Qwen/Qwen3.5-9B
tags:
- chat
library_name: transformers
license: apache-2.0
CodeV-SVA-VL: Automated Hardware Assertion Generation from Natural Language Specifications and Waveform Diagrams
Introduction
We introduce CodeV-SVA-VL, a family of vision language models designed to translate natural-language verification properties and waveform diagrams into SystemVerilog Assertions (SVAs).
Open-Source Plan:
- Benchmark ✓
- Model ✓
- Evaluation code ✓
- Paper
- Dataset ✓
- Data synthesis and training code
This repository includes the NL-Waveform-SVA training data selected by bidirectional translation and equivalence verification.
- CodeV-SVA-dataset-83K-sva2wavedrom-qwen3p6-plus-diagram-wave2sva-self-verified-pass-training.jsonl: Textual training data.
- CodeV-SVA-dataset-83K-sva2wavedrom-qwen3p6-plus-diagram-wave2sva-self-verified-pass-images.tar: Waveform diagrams.
Citation
@misc{wu2026qimengcodevsvatrainingspecializedllms,
title={QiMeng-CodeV-SVA: Training Specialized LLMs for Hardware Assertion Generation via RTL-Grounded Bidirectional Data Synthesis},
author={Yutong Wu and Chenrui Cao and Pengwei Jin and Di Huang and Rui Zhang and Xishan Zhang and Zidong Du and Qi Guo and Xing Hu},
year={2026},
eprint={2603.14239},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2603.14239},
}