Datasets:
metadata
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 and GitHub for more details.
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.