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Download README.md from LordNR/AMLGraphX-Elliptic: direct link, hf CLI and curl.
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https://huggingface.co/datasets/LordNR/AMLGraphX-Elliptic/resolve/main/README.md
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hf download hf://datasets/LordNR/AMLGraphX-Elliptic/README.md
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curl -L -o README.md https://huggingface.co/datasets/LordNR/AMLGraphX-Elliptic/resolve/main/README.md
725 Bytes
| license: cc-by-nc-sa-4.0 | |
| tags: | |
| - anti-money-laundering | |
| - bitcoin | |
| - graph-learning | |
| - financial-crime | |
| # Elliptic Data Set | |
| The Elliptic Data Set is a Bitcoin transaction graph for illicit transaction detection and anti-money laundering research. | |
| - **Nodes:** Bitcoin transactions | |
| - **Edges:** Directed money flows between transactions | |
| - **Labels:** Licit, illicit, or unknown | |
| - **Time:** 49 temporal steps | |
| ## Source | |
| Originally released by **Elliptic**. | |
| Dataset: | |
| https://www.kaggle.com/datasets/ellipticco/elliptic-data-set | |
| Reference: | |
| > Weber, M. et al. (2019). | |
| > **Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics.** | |
| ## License | |
| CC BY-NC-SA 4.0 |