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README.md

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-license: mit
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+---
+license: mit
+---
+
+# MADAR: Efficient Continual Learning for Malware Analysis with Diversity-Aware Replay
+
+This dataset is released in support of the paper:
+
+> **MADAR: Efficient Continual Learning for Malware Analysis with Diversity-Aware Replay**  
+> Mohammad Saidur Rahman, Scott Coull, Qi Yu, Matthew Wright  
+> arXiv preprint [arXiv:2502.05760](https://arxiv.org/abs/2502.05760), 2025
+
+MADAR is a benchmark suite for evaluating continual learning methods in malware classification. It includes realistic data distribution shifts and supports scenarios such as Domain-Incremental Learning (Domain-IL) and Class-Incremental Learning (Class-IL). The dataset includes curated samples from two primary sources:
+
+- **EMBER-Domain**: Derived from the EMBER dataset of Windows PE files.
+- **AZ-Domain**: Derived from the AndroZoo dataset of Android APKs.
+
+---
+
+## Dataset Sources
+
+### EMBER-Domain
+
+Curated from the EMBER dataset:
+
+> Hyrum S. Anderson and Phil Roth  
+> *Ember: An open dataset for training static PE malware machine learning models*  
+> arXiv preprint [arXiv:1804.04637](https://arxiv.org/abs/1804.04637), 2018
+
+### AZ-Domain
+
+Curated from the AndroZoo dataset:
+
+> Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon  
+> *AndroZoo: Collecting Millions of Android Apps for the Research Community*  
+> International Conference on Mining Software Repositories (MSR), 2016
+
+> Marco Alecci, Pedro Jesús Ruiz Jiménez, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein  
+> *AndroZoo: A Retrospective with a Glimpse into the Future*  
+> International Conference on Mining Software Repositories (MSR), 2024
+
+---
+
+## License
+
+This dataset is released under the MIT License.
+
+---
+
+## Citation
+
+If you use MADAR in your work, please cite:
+
+```bibtex
+@article{rahman2025madar,
+  title={MADAR: Efficient Continual Learning for Malware Analysis with Diversity-Aware Replay},
+  author={Rahman, Mohammad Saidur and Coull, Scott and Yu, Qi and Wright, Matthew},
+  journal={arXiv preprint arXiv:2502.05760},
+  year={2025}
+}