English

Multi-source Multi-level Multi-token Ethereum Dataset and Benchmark Platform

Computational Engineering, Finance, and Science 2025-01-22 v1

Abstract

This paper introduces 3MEthTaskforce (https://3meth.github.io), a multi-source, multi-level, and multi-token Ethereum dataset addressing the limitations of single-source datasets. Integrating over 300 million transaction records, 3,880 token profiles, global market indicators, and Reddit sentiment data from 2014-2024, it enables comprehensive studies on user behavior, market sentiment, and token performance. 3MEthTaskforce defines benchmarks for user behavior prediction and token price prediction tasks, using 6 dynamic graph networks and 19 time-series models to evaluate performance. Its multimodal design supports risk analysis and market fluctuation modeling, providing a valuable resource for advancing blockchain analytics and decentralized finance research.

Keywords

Cite

@article{arxiv.2501.11906,
  title  = {Multi-source Multi-level Multi-token Ethereum Dataset and Benchmark Platform},
  author = {Haoyuan Li and Mengxiao Zhang and Maoyuan Li and Jianzheng Li and Junyi Yang and Shuangyan Deng and Zijian Zhang and Jiamou Liu},
  journal= {arXiv preprint arXiv:2501.11906},
  year   = {2025}
}

Comments

10 pages

R2 v1 2026-06-28T21:12:05.890Z