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

Haoyuan Li; Jiamou Liu; Jianzheng Li; Junyi Yang; Maoyuan Li; Mengxiao Zhang; Shuangyan Deng; Zijian Zhang

arxiv: 2501.11906 · v1 · pith:R5F7VPCInew · submitted 2025-01-21 · 💻 cs.CE

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

Haoyuan Li , Mengxiao Zhang , Maoyuan Li , Jianzheng Li , Junyi Yang , Shuangyan Deng , Zijian Zhang , Jiamou Liu This is my paper

classification 💻 cs.CE

keywords markettokenbehaviordatasetethereummethtaskforcemulti-levelmulti-source

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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.

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