| license: cc-by-nc-sa-4.0 | |
| task_categories: | |
| - text-classification | |
| - multiple-choice | |
| - question-answering | |
| - summarization | |
| - feature-extraction | |
| - fill-mask | |
| - text-retrieval | |
| - document-question-answering | |
| language: | |
| - zh | |
| - en | |
| pretty_name: CS-Eval | |
| size_categories: | |
| - 1K<n<10K | |
| CS-Eval is a comprehensive evaluation toolkit for fundamental cybersecurity models or large language models' cybersecurity ability, encompassing 11 major cybersecurity categories, 42 subdomains, featuring 4,369 assessment items across multiple-choice, true/false, and knowledge extraction questions. It delivers a balanced mix of knowledge-oriented and practice-focused evaluation tasks. The platform empowers users to conduct self-assessments and offers leaderboards across various subdomains, fostering competitive benchmarking and performance insights.Please visit our [Website](https://cs-eval.com/) and [GitHub](https://github.com/CS-EVAL/CS-Eval) for more details. | |
| [How to submit?](https://github.com/CS-EVAL/CS-Eval?tab=readme-ov-file#how-to-submit) | |
| ### Load the data | |
| ```python | |
| from datasets import load_dataset | |
| dataset=load_dataset(r"cseval/cs-eval") | |
| print(dataset['{test}'][0]) | |
| ``` | |
| More details on data please visit our [github page](https://github.com/CS-EVAL/CS-Eval?tab=readme-ov-file#data). | |