--- dataset_info: features: - name: messages list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 107434494 num_examples: 23685 download_size: 13870727 dataset_size: 107434494 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" ---