| language: | |
| - en | |
| license: mit | |
| task_categories: | |
| - text-generation | |
| dataset_info: | |
| features: | |
| - name: problem_id | |
| dtype: string | |
| - name: prompt | |
| dtype: string | |
| - name: ifc | |
| dtype: string | |
| - name: ref | |
| dtype: string | |
| - name: test | |
| dtype: string | |
| splits: | |
| - name: test | |
| num_bytes: 725150 | |
| num_examples: 156 | |
| download_size: 159771 | |
| dataset_size: 725150 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: test | |
| path: data/test-* | |
| VerilogEvalv2 complete-iccad-2023 dataset from the VerilogEval paper. Paper: [Revisiting VerilogEval: Newer LLMs, In-Context Learning, and Specification-to-RTL Tasks](https://arxiv.org/abs/2408.11053) Repo: https://github.com/NVlabs/verilog-eval). | |
| **Disclaimer: I am not the original author and uploaded this here only for convenience!** Please refer to the original repo for any information. |