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
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.
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.
7 commits
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
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.
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.
7 commits