RESTRICTED RESEARCH LICENSE Version 1.0, 2026 Copyright (c) 2026 Markiian Matviiv, Ukrainian Catholic University In partnership with the Ministry of Digital Transformation of Ukraine 1. PREAMBLE This dataset ("Ukrainian LLM Safety Dataset") contains synthetic adversarial prompts and security-sensitive classification data developed for the protection of Ukrainian sovereign digital infrastructure. Given the sensitive nature of the underlying threat models and the potential for misuse, access is strictly controlled. 2. GRANT OF RIGHTS Subject to compliance with all terms herein, the Licensor grants you a non-exclusive, non-transferable, royalty-free license to: a) Access and use the dataset solely for academic research, defensive security research, or educational purposes; b) Train, fine-tune, or evaluate machine learning models for safety classification tasks; c) Publish research findings that reference this dataset, provided that the raw dataset itself is not redistributed or made publicly available. 3. RESTRICTIONS You may NOT, without prior written approval from the Ministry of Digital Transformation of Ukraine: a) Use the dataset for any commercial, military, or intelligence application; b) Redistribute, sublicense, sell, or otherwise transfer the dataset or substantial portions thereof to third parties; c) Use the dataset to develop, improve, or benchmark offensive tools, including but not limited to jailbreak generators, prompt injection frameworks, or adversarial attack methodologies; d) Publicly disclose or publish the raw prompt text, rationales, or contrastive examples outside of aggregated statistical analyses; e) Remove or obfuscate attribution to the Ministry of Digital Transformation of Ukraine and Ukrainian Catholic University. 4. DUAL-USE AND ETHICAL OBLIGATIONS The dataset contains adversarial examples designed to test safety boundaries. By accessing this data, you acknowledge that: a) The adversarial content is provided strictly for defensive classifier hardening and must not be used to bypass or undermine existing safety systems; b) Any models trained on this dataset should be deployed exclusively for content moderation, guardrailing, or threat detection purposes; c) You will report any unintended harmful use or security vulnerabilities discovered through this research to the Licensor within 30 days. 5. ATTRIBUTION Any publication, presentation, or derivative work based on this dataset must include the following citation: Matviiv, M. (2026). Efficient Guardrailing for the Ukrainian LLM via Reasoning Distillation. Master's Thesis, Ukrainian Catholic University. Dataset provided in partnership with the Ministry of Digital Transformation of Ukraine. 6. TERMINATION This license automatically terminates if you violate any of the terms herein. Upon termination, you must destroy all copies of the dataset and cease all use immediately. 7. DISCLAIMER THE DATASET IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND NONINFRINGEMENT. THE LICENSOR SHALL NOT BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY ARISING FROM THE USE OF THE DATASET.