Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
metadata
dataset_info:
features:
- name: messages
list:
- name: content
dtype: string
- name: role
dtype: string
splits:
- name: train
num_bytes: 96963146
num_examples: 21227
download_size: 12656290
dataset_size: 96963146
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: mit
task_categories:
- text-generation
language:
- en
tags:
- Cybersecurity
- AccessControl
extra_gated_heading: Request access to the dataset
extra_gated_description: Please review and accept our Terms & Conditions below.
extra_gated_prompt: |
By requesting access, you confirm that:
1. You cite the following papers that led to the development of this dataset
```
@article{jayasundara2024ragent,
title={RAGent: Retrieval-based Access Control Policy Generation},
author={Jayasundara, Sakuna Harinda and Arachchilage, Nalin Asanka Gamagedara and Russello, Giovanni},
journal={arXiv preprint arXiv:2409.07489},
year={2024}
}
@article{jayasundara2024sok,
title={SoK: Access Control Policy Generation from High-level Natural Language Requirements},
author={Jayasundara, Sakuna Harinda and Gamagedara Arachchilage, Nalin Asanka and Russello, Giovanni},
journal={ACM Computing Surveys},
volume={57},
number={4},
pages={1--37},
year={2024},
publisher={ACM New York, NY}
}
@inproceedings{jayasundara2024vision,
title={Vision:“AccessFormer”: Feedback-Driven Access Control Policy Generation Framework},
author={Jayasundara, Sakuna Harinda and Arachchilage, Nalin Asanka Gamagedara and Russello, Giovanni},
booktitle={Symposium on Usable Security and Privacy (USEC)},
year={2024}
}
```
2. You’ll use this model for non‑commercial research only.
3. You consent to sharing your username and email.
extra_gated_fields:
Affiliation: text
Purpose:
type: select
options:
- Research
- Education
- Other
I agree to the Terms & Conditions and License: checkbox
extra_gated_button_content: Acknowledge and Request Access