wyt2000/CodeV-SVA-VL-datasets

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}, 
}