size_categories:n<1K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: problem_id
    dtype: string
  - name: folder_path
    dtype: string
  splits:
  - name: train
    num_bytes: 1389
    num_examples: 28
  download_size: 2063
  dataset_size: 1389
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---


Disclaimer: I am not the original author and uploaded this here only for convenience, it only contains the basename of each folder as well as the relative paths to avoid overhead. Please refer to the original repo for any information. https://github.com/hkust-zhiyao/RTLLM

Notice that the `risc_cpu` experiment is missing as it was not provided by the authors.

```
@inproceedings{lu2024rtllm,
  author={Lu, Yao and Liu, Shang and Zhang, Qijun and Xie, Zhiyao},
  booktitle={2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC)}, 
  title={RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model}, 
  year={2024},
  pages={722-727},
  organization={IEEE}
  }

@inproceedings{liu2024openllm,
  title={OpenLLM-RTL: Open Dataset and Benchmark for LLM-Aided Design RTL Generation(Invited)},
  author={Liu, Shang and Lu, Yao and Fang, Wenji and Li, Mengming and Xie, Zhiyao},
  booktitle={Proceedings of 2024 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)},
  year={2024},
  organization={ACM}
}

```


