data source

README.md

@@ -26,4 +26,78 @@ tags:
 - DGA
 size_categories:
 - 100M<n<1B
----
+---
+
+## Datasets Overview
+The dataset URLs and Domain Names are collected from the following sources:
+### mC4
+- **Description**: The Multilingual Colossal Common Crawl Corpus (mC4) is a cleaned version of the Common Crawl's web corpus, curated by the Allen Institute for Artificial Intelligence. It contains approximately 170 million URLs.
+- **Source**: [mC4 Dataset on Hugging Face](https://huggingface.co/datasets/legacy-datasets/mc4)
+
+### falcon-refinedweb
+- **Description**: An English large-scale dataset curated for large language model pre-training, compiled from CommonCrawl using strict filtering and extensive deduplication. It contains around 128 million URLs.
+- **Source**: [Falcon-RefinedWeb](https://huggingface.co/datasets/legacy-datasets/falcon-refinedweb)
+
+### CBA Web tracking datasets
+- **Description**: Compiled by the Broadband Communications Systems and Architectures Research Group, this dataset contains 76 million URLs and 1.5 million domain names focused on web tracking.
+- **Source**: [CBA Web Tracking Datasets](https://cba.upc.edu/downloads/category/29-web-tracking-datasets#)
+
+### Tranco top 1M
+- **Description**: A dataset of top 1M domain names, compiled and ranked by Tranco.
+- **Source**: [Tranco List](https://tranco-list.eu/)
+
+### UTL_DGA22
+- **Description**: A Domain Generation Algorithm (DGA) botnet dataset containing 4.3 million entries from 76 DGA families.
+- **Source**: Citation needed for the dataset source.
+
+### UMUDGA
+- **Description**: A dataset for profiling DGA-based botnets, consisting of 30 million manually labeled DGA entries.
+- **Source**: Citation needed for the dataset source.
+
+## Citation
+Please cite the following papers when using these datasets:
+
+```bibtex
+@article{2019t5,
+  title={Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer},
+  author={Colin Raffel and Noam Shazeer and Adam Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu},
+  journal={Journal of Machine Learning Research},
+  year={2020},
+  url={https://jmlr.org/papers/v21/20-074.html}
+}
+
+@article{refinedweb,
+  title={Refining Large-Scale Web Datasets Using Deep Learning and Human Review},
+  author={Lastname, Firstname},
+  journal={Journal Title},
+  year={Year},
+  url={https://someurl.com}
+}
+
+@inproceedings{pochat2018tranco,
+  title={Tranco: A Research-Oriented Top Sites Ranking Hardened Against Manipulation},
+  author={Victor Le Pochat and Tom Van Goethem and Samaneh Tajalizadehkhoob and Maciej Korczyński and Wouter Joosen},
+  booktitle={Network and Distributed System Security Symposium},
+  year={2019},
+  url={https://www.ndss-symposium.org/ndss-paper/auto-draft-15/}
+}
+
+@article{tuan2023utldga22,
+  title={UTL_DGA22: A Comprehensive Dataset for Domain Generation Algorithm Detection},
+  author={Author Name},
+  journal={Journal Name},
+  year={2023},
+  url={https://anotherurl.com}
+}
+
+@article{ZAGO2020105400,
+  title={UMUDGA: A Dataset for Profiling DGA-Based Botnets},
+  author={Zago, Matteo},
+  journal={Computers & Security},
+  year={2020},
+  volume={92},
+  pages={101540},
+  publisher={Elsevier},
+  doi={10.1016/j.cose.2020.101540}
+}
+```