cseval/cs-eval

Dataset

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, foste

10

7 commits

2 linked in READMEs

updated Aug 11, 2024

See the code

README

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 and GitHub for more details.

How to submit?

Load the data

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.

Contributors

cseval

7 commits

cseval/cs-eval

Dataset

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, foste

10

7 commits

2 linked in READMEs

updated Aug 11, 2024

See the code

README

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 and GitHub for more details.

How to submit?

Load the data

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.

Contributors

cseval

7 commits